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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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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
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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Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
William L. Hamilton
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Kevin Clark
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Jure Leskovec
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Dan Jurafsky
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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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EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis
David Vilares
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Miguel A. Alonso
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Carlos Gómez-Rodríguez
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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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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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SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
Irene Russo
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Tommaso Caselli
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Carlo Strapparava
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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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CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
Canberk Özdemir
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Sabine Bergler
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SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
Mauro Dragoni
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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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Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level Polarity Detection
Héctor Cerezo-Costas
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Diego Celix-Salgado
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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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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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Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
Fatih Uzdilli
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Martin Jaggi
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Dominic Egger
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Pascal Julmy
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Leon Derczynski
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Mark Cieliebak
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mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
Vittoria Cozza
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Marinella Petrocchi
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SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
Keith Cortis
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André Freitas
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Tobias Daudert
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Manuela Huerlimann
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Manel Zarrouk
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Siegfried Handschuh
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Brian Davis
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CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification
Raj Kumar Gupta
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Yinping Yang
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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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Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
David Vilares
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Miguel A. Alonso
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Carlos Gómez-Rodríguez
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A Linguistically Informed Convolutional Neural Network
Sebastian Ebert
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Ngoc Thang Vu
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Hinrich Schütze
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Svetlana Kiritchenko
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Saif Mohammad
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A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs
Elisavet Palogiannidi
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Elias Iosif
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Polychronis Koutsakis
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Alexandros Potamianos
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Sentiment Analysis in Twitter: A SemEval Perspective
Preslav Nakov
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A Practical Guide to Sentiment Annotation: Challenges and Solutions
Saif Mohammad
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Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues
Yujie Lu
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Jinlong Guo
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Kotaro Sakamoto
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Hideyuki Shibuki
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Tatsunori Mori
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http://www.purl.com/net/lexicons
https://dev.twitter.com
http://www.purl.com/net/lexicons
Field Of Study
Linguistic Trends
Embeddings
Task
Named Entity Recognition
Semantic Similarity
Sentiment Analysis
Language
Chinese
Dataset
Social Media
Twitter
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