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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad
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Svetlana Kiritchenko
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Xiaodan Zhu
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach
Duyu Tang
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Furu Wei
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Bing Qin
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Ming Zhou
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Ting Liu
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Supervised Ranking of Co-occurrence Profiles for Acquisition of Continuous Lexical Attributes
Julian Brooke
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Graeme Hirst
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A Hybrid Deep Learning Architecture for Sentiment Analysis
Md Shad Akhtar
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Ayush Kumar
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Asif Ekbal
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Pushpak Bhattacharyya
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On the Impact of Seed Words on Sentiment Polarity Lexicon Induction
Dame Jovanoski
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Veno Pachovski
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Preslav Nakov
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A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
Andreas Hanselowski
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Avinesh PVS
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Benjamin Schiller
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Felix Caspelherr
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Debanjan Chaudhuri
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Christian M. Meyer
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Iryna Gurevych
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An Analysis of Annotated Corpora for Emotion Classification in Text
Laura-Ana-Maria Bostan
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Roman Klinger
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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Is Twitter A Better Corpus for Measuring Sentiment Similarity?
Shi Feng
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Le Zhang
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Binyang Li
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Daling Wang
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Ge Yu
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Kam-Fai Wong
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A Joint Segmentation and Classification Framework for Sentiment Analysis
Duyu Tang
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Furu Wei
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Bing Qin
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Li Dong
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Ting Liu
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Ming Zhou
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Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases
Ashequl Qadir
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Ellen Riloff
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Identifying Political Sentiment between Nation States with Social Media
Nathanael Chambers
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Victor Bowen
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Ethan Genco
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Xisen Tian
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Eric Young
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Ganesh Harihara
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Eugene Yang
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Learning to Recognize Affective Polarity in Similes
Ashequl Qadir
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Ellen Riloff
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Marilyn Walker
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Adjective Intensity and Sentiment Analysis
Raksha Sharma
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Mohit Gupta
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Astha Agarwal
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Pushpak Bhattacharyya
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LAMB: A Good Shepherd of Morphologically Rich Languages
Sebastian Ebert
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Thomas Müller
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Hinrich Schütze
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Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
Koustav Rudra
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Shruti Rijhwani
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Rafiya Begum
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Kalika Bali
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Monojit Choudhury
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Niloy Ganguly
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Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng
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Duy-Tin Vo
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Yue Zhang
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Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
Leyi Wang
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Rui Xia
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A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
Md Shad Akhtar
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Abhishek Kumar
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Deepanway Ghosal
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Asif Ekbal
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Pushpak Bhattacharyya
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Human Centered NLP with User-Factor Adaptation
Veronica Lynn
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Youngseo Son
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Vivek Kulkarni
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Niranjan Balasubramanian
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H. Andrew Schwartz
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“i have a feeling trump will win..................”: Forecasting Winners and Losers from User Predictions on Twitter
Sandesh Swamy
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Alan Ritter
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Marie-Catherine de Marneffe
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Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
Deepanway Ghosal
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Md Shad Akhtar
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Dushyant Chauhan
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Soujanya Poria
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Asif Ekbal
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Pushpak Bhattacharyya
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Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification
Huy Thanh Nguyen
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Minh Le Nguyen
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Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits
Quanzhi Li
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Sameena Shah
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Sentiment Lexicons for Arabic Social Media
Saif Mohammad
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Mohammad Salameh
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Svetlana Kiritchenko
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Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases
Svetlana Kiritchenko
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Saif Mohammad
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Creating a General Russian Sentiment Lexicon
Natalia Loukachevitch
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Anatolii Levchik
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A Dataset for Detecting Stance in Tweets
Saif Mohammad
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Svetlana Kiritchenko
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Parinaz Sobhani
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Xiaodan Zhu
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Colin Cherry
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Lingmotif-lex: a Wide-coverage, State-of-the-art Lexicon for Sentiment Analysis
Antonio Moreno-Ortiz
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Chantal Pérez-Hernández
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Sentiment after Translation: A Case-Study on Arabic Social Media Posts
Mohammad Salameh
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Saif Mohammad
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Svetlana Kiritchenko
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On the Automatic Learning of Sentiment Lexicons
Aliaksei Severyn
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Alessandro Moschitti
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Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe
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Sebastian Ebert
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Hinrich Schütze
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DAG-Structured Long Short-Term Memory for Semantic Compositionality
Xiaodan Zhu
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Parinaz Sobhani
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Hongyu Guo
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Sentiment Composition of Words with Opposing Polarities
Svetlana Kiritchenko
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Saif M. Mohammad
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Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
Duyu Tang
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Furu Wei
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Nan Yang
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Ming Zhou
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Ting Liu
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Bing Qin
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Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training
Bing Xiang
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Liang Zhou
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Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
Svitlana Volkova
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Yoram Bachrach
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Don’t Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text
Duy Tin Vo
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Yue Zhang
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Learning Lexico-Functional Patterns for First-Person Affect
Lena Reed
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Jiaqi Wu
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Shereen Oraby
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Pranav Anand
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Marilyn Walker
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Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Jeremy Barnes
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Roman Klinger
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Sabine Schulte im Walde
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Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions
Dongyu Zhang
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Hongfei Lin
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Liang Yang
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Shaowu Zhang
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Bo Xu
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How Topic Biases Your Results? A Case Study of Sentiment Analysis and Irony Detection in Italian
Francesco Barbieri
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Francesco Ronzano
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Horacio Saggion
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Sentiment Analysis in Twitter for Macedonian
Dame Jovanoski
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Veno Pachovski
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Preslav Nakov
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Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian
Borislav Kapukaranov
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Preslav Nakov
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A Comparative Study of Different Sentiment Lexica for Sentiment Analysis of Tweets
Canberk Ozdemir
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Sabine Bergler
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Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums
Preslav Nakov
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Tsvetomila Mihaylova
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Lluís Màrquez
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Yashkumar Shiroya
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Ivan Koychev
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Umigon: sentiment analysis for tweets based on terms lists and heuristics
Clement Levallois
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NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer
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Mikael Brevik
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Björn Gambäck
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Lars Bungum
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SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal
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Alan Ritter
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Preslav Nakov
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Veselin Stoyanov
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AUEB: Two Stage Sentiment Analysis of Social Network Messages
Rafael Michael Karampatsis
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John Pavlopoulos
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Prodromos Malakasiotis
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CISUC-KIS: Tackling Message Polarity Classification with a Large and Diverse Set of Features
João Leal
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Sara Pinto
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Ana Bento
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Hugo Gonçalo Oliveira
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Paulo Gomes
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CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning
Kamla Al-Mannai
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Hanan Alshikhabobakr
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Sabih Bin Wasi
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Rukhsar Neyaz
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Houda Bouamor
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Behrang Mohit
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CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter
Sabih Bin Wasi
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Rukhsar Neyaz
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Houda Bouamor
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Behrang Mohit
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ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features
Jiang Zhao
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Man Lan
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Tiantian Zhu
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GPLSI: Supervised Sentiment Analysis in Twitter using Skipgrams
Javi Fernández
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Yoan Gutiérrez
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Jose Manuel Gómez
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Patricio Martínez-Barco
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IITPatna: Supervised Approach for Sentiment Analysis in Twitter
Raja Selvarajan
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Asif Ekbal
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Indian Institute of Technology-Patna: Sentiment Analysis in Twitter
Vikram Singh
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Arif Md. Khan
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Asif Ekbal
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LT3: Sentiment Classification in User-Generated Content Using a Rich Feature Set
Cynthia Van Hee
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Marjan Van de Kauter
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Orphée De Clercq
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Els Lefever
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Véronique Hoste
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NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
Svetlana Kiritchenko
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Xiaodan Zhu
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Colin Cherry
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Saif Mohammad
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NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets
Xiaodan Zhu
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Svetlana Kiritchenko
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Saif Mohammad
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RTRGO: Enhancing the GU-MLT-LT System for Sentiment Analysis of Short Messages
Tobias Günther
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Jean Vancoppenolle
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Richard Johansson
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SAP-RI: Twitter Sentiment Analysis in Two Days
Akriti Vij
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Nishta Malhotra
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Naveen Nandan
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Daniel Dahlmeier
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Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9
José Saias
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SentiKLUE: Updating a Polarity Classifier in 48 Hours
Stefan Evert
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Thomas Proisl
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Paul Greiner
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Besim Kabashi
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SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter
Boris Velichkov
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Borislav Kapukaranov
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Ivan Grozev
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Jeni Karanesheva
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Todor Mihaylov
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Yasen Kiprov
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Preslav Nakov
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Ivan Koychev
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Georgi Georgiev
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Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams
Martin Jaggi
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Fatih Uzdilli
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Mark Cieliebak
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TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data
Yasuhide Miura
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Shigeyuki Sakaki
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Keigo Hattori
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Tomoko Ohkuma
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TUGAS: Exploiting unlabelled data for Twitter sentiment analysis
Silvio Amir
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Miguel B. Almeida
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Bruno Martins
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João Filgueiras
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Mário J. Silva
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UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in Twitter Data
Lucie Flekova
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Oliver Ferschke
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Iryna Gurevych
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UMCC_DLSI: Sentiment Analysis in Twitter using Polirity Lexicons and Tweet Similarity
Pedro Aniel Sánchez-Mirabal
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Yarelis Ruano Torres
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Suilen Hernández Alvarado
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Yoan Gutiérrez
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Andrés Montoyo
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Rafael Muñoz
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Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition
Xiaodan Zhu
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Hongyu Guo
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Parinaz Sobhani
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QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
Massimo Nicosia
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Simone Filice
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Alberto Barrón-Cedeño
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Iman Saleh
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Hamdy Mubarak
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Wei Gao
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Preslav Nakov
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Giovanni Da San Martino
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Alessandro Moschitti
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Kareem Darwish
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Lluís Màrquez
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Shafiq Joty
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Walid Magdy
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SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal
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Preslav Nakov
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Svetlana Kiritchenko
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Saif Mohammad
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Alan Ritter
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Veselin Stoyanov
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UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
Aliaksei Severyn
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Alessandro Moschitti
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CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
Canberk Özdemir
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Sabine Bergler
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IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
Ayushi Dalmia
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Manish Gupta
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Vasudeva Varma
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GTI: An Unsupervised Approach for Sentiment Analysis in Twitter
Milagros Fernández-Gavilanes
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Tamara Álvarez-López
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Jonathan Juncal-Martínez
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Enrique Costa-Montenegro
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Francisco Javier González-Castaño
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IOA: Improving SVM Based Sentiment Classification Through Post Processing
Peijia Li
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Weiqun Xu
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Chenglong Ma
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Jia Sun
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Yonghong Yan
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RoseMerry: A Baseline Message-level Sentiment Classification System
Huizhi Liang
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Richard Fothergill
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Timothy Baldwin
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ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
Zhihua Zhang
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Guoshun Wu
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Man Lan
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Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter
Hussam Hamdan
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Patrice Bellot
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Frederic Bechet
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Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen
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Martin Potthast
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Michel Büchner
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Benno Stein
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Sentibase: Sentiment Analysis in Twitter on a Budget
Satarupa Guha
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Aditya Joshi
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Vasudeva Varma
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UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
Pierpaolo Basile
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Nicole Novielli
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IITPSemEval: Sentiment Discovery from 140 Characters
Ayush Kumar
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Vamsi Krishna
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Asif Ekbal
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KLUEless: Polarity Classification and Association
Nataliia Plotnikova
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Micha Kohl
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Kevin Volkert
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Stefan Evert
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Andreas Lerner
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Natalie Dykes
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Heiko Ermer
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SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
Ruth Talbot
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Chloe Acheampong
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Richard Wicentowski
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SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
Richard Wicentowski
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SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression
Yousef Alhessi
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Richard Wicentowski
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SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning
Prerna Chikersal
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Soujanya Poria
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Erik Cambria
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UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015
Xu Han
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Binyang Li
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Jing Ma
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Yuxiao Zhang
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Gaoyan Ou
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Tengjiao Wang
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Kam-fai Wong
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SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging
Riley Collins
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Daniel May
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Noah Weinthal
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Richard Wicentowski
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UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter
Francesco Barbieri
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Francesco Ronzano
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Horacio Saggion
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ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews
Zhihua Zhang
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Man Lan
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Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis
Hussam Hamdan
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Patrice Bellot
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Frederic Bechet
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SIEL: Aspect Based Sentiment Analysis in Reviews
Satarupa Guha
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Aditya Joshi
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Vasudeva Varma
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SemEval-2016 Task 6: Detecting Stance in Tweets
Saif Mohammad
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Svetlana Kiritchenko
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Parinaz Sobhani
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Xiaodan Zhu
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Colin Cherry
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SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
Svetlana Kiritchenko
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Saif Mohammad
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Mohammad Salameh
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QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification
Giovanni Da San Martino
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Wei Gao
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Fabrizio Sebastiani
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SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification
Stefan Räbiger
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Mishal Kazmi
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Yücel Saygın
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Peter Schüller
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Myra Spiliopoulou
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LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification
David Vilares
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Yerai Doval
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Miguel A. Alonso
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Carlos Gómez-Rodríguez
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Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation
Elisavet Palogiannidi
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Athanasia Kolovou
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Fenia Christopoulou
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Filippos Kokkinos
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Elias Iosif
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Nikolaos Malandrakis
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Haris Papageorgiou
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Shrikanth Narayanan
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Alexandros Potamianos
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SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter
Hussam Hamdan
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PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.
Uladzimir Sidarenka
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ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter
Yunxiao Zhou
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Zhihua Zhang
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Man Lan
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UWB at SemEval-2016 Task 6: Stance Detection
Peter Krejzl
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Josef Steinberger
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Metaphor as a Medium for Emotion: An Empirical Study
Saif Mohammad
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Ekaterina Shutova
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Peter Turney
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Detecting Stance in Tweets And Analyzing its Interaction with Sentiment
Parinaz Sobhani
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Saif Mohammad
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Svetlana Kiritchenko
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Emotion Intensities in Tweets
Saif Mohammad
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Felipe Bravo-Marquez
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NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings
Yichun Yin
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Yangqiu Song
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Ming Zhang
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SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification
Raphaël Troncy
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Enrico Palumbo
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Efstratios Sygkounas
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Giuseppe Rizzo
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Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
Athanasia Kolovou
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Filippos Kokkinos
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Aris Fergadis
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Pinelopi Papalampidi
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Elias Iosif
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Nikolaos Malandrakis
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Elisavet Palogiannidi
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Haris Papageorgiou
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Shrikanth Narayanan
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Alexandros Potamianos
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SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features
Mohammed Jabreel
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Antonio Moreno
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Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification
Hussam Hamdan
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funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts
Quanzhi Li
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Armineh Nourbakhsh
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Xiaomo Liu
|
Rui Fang
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Sameena Shah
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TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis
Amit Ajit Deshmane
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Jasper Friedrichs
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ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
Yunxiao Zhou
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Man Lan
|
Yuanbin Wu
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IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
Zarmeen Nasim
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funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter
Quanzhi Li
|
Sameena Shah
|
Armineh Nourbakhsh
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Rui Fang
|
Xiaomo Liu
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IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis
Deepanway Ghosal
|
Shobhit Bhatnagar
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Md Shad Akhtar
|
Asif Ekbal
|
Pushpak Bhattacharyya
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NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination
Zhengxin Zhang
|
Qimin Zhou
|
Hao Wu
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Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach
Guillaume Daval-Frerot
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Abdesselam Bouchekif
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Anatole Moreau
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EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets
Mohammed Jabreel
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Antonio Moreno
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YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets
You Zhang
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Jin Wang
|
Xuejie Zhang
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DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning
Habibeh Naderi
|
Behrouz Haji Soleimani
|
Saif Mohammad
|
Svetlana Kiritchenko
|
Stan Matwin
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EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM
Man Liu
|
Computing Affect in Metaphors
Tomek Strzalkowski
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Samira Shaikh
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Kit Cho
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George Aaron Broadwell
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Laurie Feldman
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Sarah Taylor
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Boris Yamrom
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Ting Liu
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Ignacio Cases
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Yuliya Peshkova
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Kyle Elliot
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Robust Cross-Domain Sentiment Analysis for Low-Resource Languages
Jakob Elming
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Barbara Plank
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Dirk Hovy
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Semantic Role Labeling of Emotions in Tweets
Saif Mohammad
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Xiaodan Zhu
|
Joel Martin
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Towards Assessing Changes in Degree of Depression through Facebook
H. Andrew Schwartz
|
Johannes Eichstaedt
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Margaret L. Kern
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Gregory Park
|
Maarten Sap
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David Stillwell
|
Michal Kosinski
|
Lyle Ungar
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A Supervised Approach for Sentiment Analysis using Skipgrams
Javi Fernández
|
José M. Gómez
|
Patricio Martínez-Barco
|
Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
Lucie Flekova
|
Daniel Preoţiuc-Pietro
|
Eugen Ruppert
|
Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget’s Thesaurus
Saif Mohammad
|
A Linguistically Informed Convolutional Neural Network
Sebastian Ebert
|
Ngoc Thang Vu
|
Hinrich Schütze
|
How much does word sense disambiguation help in sentiment analysis of micropost data?
Chiraag Sumanth
|
Diana Inkpen
|
Using Combined Lexical Resources to Identify Hashtag Types
Credell Simeon
|
Robert Hilderman
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An combined sentiment classification system for SIGHAN-8
Qiuchi Li
|
Qiyu Zhi
|
Miao Li
|
Modelling Valence and Arousal in Facebook posts
Daniel Preoţiuc-Pietro
|
H. Andrew Schwartz
|
Gregory Park
|
Johannes Eichstaedt
|
Margaret Kern
|
Lyle Ungar
|
Elisabeth Shulman
|
Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks
Pedro Dias Cardoso
|
Anindya Roy
|
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Svetlana Kiritchenko
|
Saif Mohammad
|
Generating Sentiment Lexicons for German Twitter
Uladzimir Sidarenka
|
Manfred Stede
|
Expressions of Anxiety in Political Texts
Ludovic Rheault
|
WASSA-2017 Shared Task on Emotion Intensity
Saif Mohammad
|
Felipe Bravo-Marquez
|
Towards Syntactic Iberian Polarity Classification
David Vilares
|
Marcos Garcia
|
Miguel A. Alonso
|
Carlos Gómez-Rodríguez
|
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Bonggun Shin
|
Timothy Lee
|
Jinho D. Choi
|
IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features
Md Shad Akhtar
|
Palaash Sawant
|
Asif Ekbal
|
Jyoti Pawar
|
Pushpak Bhattacharyya
|
UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings
Vineet John
|
Olga Vechtomova
|
Extracting word lists for domain-specific implicit opinions from corpora
Núria Bertomeu Castelló
|
Manfred Stede
|
Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings
Carl Saroufim
|
Akram Almatarky
|
Mohammad Abdel Hady
|
http://www.cs.york.ac.uk/semeval-2013/task2
http://sentiment.christopherpotts.net/tokenizing.html
http://sentiment.christopherpotts.net/lingstruc.html
http://en.wikipedia.org/wiki/List
Field Of Study
Task
Tagging
Sentiment Analysis
Text Categorization
Language
English
Dataset
Twitter
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