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Sentiment Analysis of Twitter Data
Apoorv Agarwal
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Boyi Xie
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Ilia Vovsha
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Owen Rambow
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Rebecca Passonneau
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Paper Details:
Month: June
Year: 2011
Location: Portland, Oregon
Venue:
WS |
Citations
URL
A context-based model for Sentiment Analysis in Twitter
Andrea Vanzo
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Danilo Croce
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Roberto Basili
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A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis
Yicheng Zou
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Tao Gui
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Qi Zhang
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Xuanjing Huang
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Open Domain Targeted Sentiment
Margaret Mitchell
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Jacqui Aguilar
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Theresa Wilson
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Benjamin Van Durme
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Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media
Svitlana Volkova
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Theresa Wilson
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David Yarowsky
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Sentiment Analysis on the People’s Daily
Jiwei Li
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Eduard Hovy
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Exploiting Community Emotion for Microblog Event Detection
Gaoyan Ou
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Wei Chen
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Tengjiao Wang
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Zhongyu Wei
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Binyang Li
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Dongqing Yang
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Kam-Fai Wong
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More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets
Axel Schulz
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Christian Guckelsberger
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Benedikt Schmidt
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That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets
William Yang Wang
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Diyi Yang
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Classifying Tweet Level Judgements of Rumours in Social Media
Michal Lukasik
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Trevor Cohn
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Kalina Bontcheva
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Analyzing Framing through the Casts of Characters in the News
Dallas Card
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Justin Gross
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Amber Boydstun
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Noah A. Smith
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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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Towards a Universal Sentiment Classifier in Multiple languages
Kui Xu
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Xiaojun Wan
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Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
Yi Tay
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Anh Tuan Luu
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Siu Cheung Hui
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Jian Su
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Graph Based Sentiment Aggregation using ConceptNet Ontology
Srikanth Tamilselvam
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Seema Nagar
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Abhijit Mishra
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Kuntal Dey
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A Statistical Parsing Framework for Sentiment Classification
Li Dong
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Furu Wei
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Shujie Liu
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Ming Zhou
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Ke Xu
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Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra
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Diptesh Kanojia
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Seema Nagar
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Kuntal Dey
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Pushpak Bhattacharyya
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Sequence Classification with Human Attention
Maria Barrett
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Joachim Bingel
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Nora Hollenstein
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Marek Rei
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Anders Søgaard
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Evaluating Lexical Similarity to build Sentiment Similarity
Grégoire Jadi
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Vincent Claveau
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Béatrice Daille
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Laura Monceaux
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Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification
Zhaopeng Tu
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Yifan He
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Jennifer Foster
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Josef van Genabith
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Qun Liu
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Shouxun Lin
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Semantic Frames to Predict Stock Price Movement
Boyi Xie
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Rebecca J. Passonneau
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Leon Wu
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Germán G. Creamer
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Detecting Event-Related Links and Sentiments from Social Media Texts
Alexandra Balahur
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Hristo Tanev
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Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis
Qiang Chen
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Wenjie Li
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Yu Lei
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Xule Liu
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Yanxiang He
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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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Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast
Hannah Rashkin
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Eric Bell
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Yejin Choi
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Svitlana Volkova
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A dataset for identifying actionable feedback in collaborative software development
Benjamin S. Meyers
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Nuthan Munaiah
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Emily Prud’hommeaux
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Andrew Meneely
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Josephine Wolff
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Cecilia Ovesdotter Alm
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Pradeep Murukannaiah
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Graph-based Event Extraction from Twitter
Amosse Edouard
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Elena Cabrio
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Sara Tonelli
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Nhan Le-Thanh
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AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker
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George Erhart
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David Skiba
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Valentine Matula
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UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
Giuseppe Castellucci
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Simone Filice
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Danilo Croce
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Roberto Basili
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UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu
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Djoerd Hiemstra
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Peter Apers
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Andreas Wombacher
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ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
Robert Remus
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Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
Hussam Hamdan
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Frederic Béchet
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Patrice Bellot
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Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal
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Kathy McKeown
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SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya
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Gábor Berend
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Richárd Farkas
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NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho
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Thiago Pardo
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BUAP: Polarity Classification of Short Texts
David Pinto
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Darnes Vilariño
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Saul León
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Miguel Jasso
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Cupertino Lucero
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Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media
Sara Rosenthal
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Kathy McKeown
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Apoorv Agarwal
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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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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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KUNLPLab:Sentiment Analysis on Twitter Data
Beakal Gizachew Assefa
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LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
David Vilares
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Miguel Hermo
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Miguel A. Alonso
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Carlos Gómez-Rodríguez
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Yerai Doval
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The Impact of Z_score on Twitter Sentiment Analysis
Hussam Hamdan
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Patrice Bellot
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Frederic Béchet
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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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UDLAP at SemEval-2016 Task 4: Sentiment Quantification Using a Graph Based Representation
Esteban Castillo
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Ofelia Cervantes
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Darnes Vilariño
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David Báez
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GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System
Jonathan Juncal-Martínez
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Tamara Álvarez-López
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Milagros Fernández-Gavilanes
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Enrique Costa-Montenegro
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Francisco Javier González-Castaño
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NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library
Nikolay Karpov
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Alexander Porshnev
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Kirill Rudakov
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VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter
Gerard Briones
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Kasun Amarasinghe
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Bridget McInnes
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RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem
Aysu Ezen-Can
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Ethem F. Can
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CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities
Tariq Ahmad
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Allan Ramsay
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Hanady Ahmed
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TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning
Malak Abdullah
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Samira Shaikh
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ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets
El Moatez Billah Nagoudi
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Random Walk Weighting over SentiWordNet for Sentiment Polarity Detection on Twitter
Arturo Montejo-Ráez
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Eugenio Martínez-Cámara
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M. Teresa Martín-Valdivia
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L. Alfonso Ureña-López
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Mining Sentiments from Tweets
Akshat Bakliwal
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Piyush Arora
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Senthil Madhappan
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Nikhil Kapre
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Mukesh Singh
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Vasudeva Varma
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Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
Ivan Habernal
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Tomáš Ptáček
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Josef Steinberger
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Sentiment analysis on Italian tweets
Valerio Basile
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Malvina Nissim
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Artificial IntelliDance: Teaching Machine Learning through a Choreography
Apoorv Agarwal
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Caitlin Trainor
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Stance Classification in Online Debates by Recognizing Users’ Intentions
Sarvesh Ranade
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Rajeev Sangal
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Radhika Mamidi
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Generating Music from Literature
Hannah Davis
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Saif Mohammad
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The (Un)Predictability of Emotional Hashtags in Twitter
Florian Kunneman
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Christine Liebrecht
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Antal van den Bosch
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Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams
Ilia Chetviorkin
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Natalia Loukachevitch
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Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data
Itir Onal
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Ali Mert Ertugrul
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Ruken Cakici
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Towards Tracking Political Sentiment through Microblog Data
Yu Wang
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Tom Clark
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Jeffrey Staton
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Eugene Agichtein
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A Supervised Approach for Sentiment Analysis using Skipgrams
Javi Fernández
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José M. Gómez
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Patricio Martínez-Barco
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evision PDF of 'Scoring Persuasive Essays Using Opinions and their Targets
Noura Farra
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Swapna Somasundaran
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Jill Burstein
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Detecting Opinion Polarities using Kernel Methods
Rasoul Kaljahi
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Jennifer Foster
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Identifying Eyewitness News-worthy Events on Twitter
Erika Doggett
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Alejandro Cantarero
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When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data
Akshita Jha
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Radhika Mamidi
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Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation
Ye Jiang
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Xingyi Song
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Jackie Harrison
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Shaun Quegan
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Diana Maynard
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The Sentimental Value of Chinese Sub-Character Components
Yassine Benajiba
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Or Biran
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Zhiliang Weng
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Yong Zhang
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Jin Sun
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Detecting Offensive Tweets in Hindi-English Code-Switched Language
Puneet Mathur
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Rajiv Shah
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Ramit Sawhney
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Debanjan Mahata
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Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets
Alfan Farizki Wicaksono
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Clara Vania
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Bayu Distiawan
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Mirna Adriani
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http://en.wikipedia.org/wiki/List
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Field Of Study
Linguistic Trends
Syntax
Task
Sentiment Analysis
Language
English
Dataset
Twitter
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