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Robust Sentiment Detection on Twitter from Biased and Noisy Data
Luciano Barbosa
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Junlan Feng
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Paper Details:
Month: August
Year: 2010
Location: Beijing, China
Venue:
COLING |
Citations
URL
Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
Cícero dos Santos
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Maíra Gatti
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Political Tendency Identification in Twitter using Sentiment Analysis Techniques
Ferran Pla
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Lluís-F. Hurtado
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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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Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs
Samuel Brody
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Nicholas Diakopoulos
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Linguistic Redundancy in Twitter
Fabio Massimo Zanzotto
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Marco Pennacchiotti
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Kostas Tsioutsiouliklis
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Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
Eiji ARAMAKI
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Sachiko MASKAWA
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Mizuki MORITA
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Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries
Russell Beckley
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Brian Roark
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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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Collective Opinion Target Extraction in Chinese Microblogs
Xinjie Zhou
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Xiaojun Wan
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Jianguo Xiao
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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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Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
Micol Marchetti-Bowick
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Nathanael Chambers
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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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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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PotTS: The Potsdam Twitter Sentiment Corpus
Uladzimir Sidarenka
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Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping
Fahad Albogamy
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Allan Ramsay
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Target-dependent Twitter Sentiment Classification
Long Jiang
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Mo Yu
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Ming Zhou
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Xiaohua Liu
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Tiejun Zhao
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Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel
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Nathan Schneider
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Brendan O’Connor
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Dipanjan Das
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Daniel Mills
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Jacob Eisenstein
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Michael Heilman
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Dani Yogatama
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Jeffrey Flanigan
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Noah A. Smith
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MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages
Cheng-Te Li
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Chien-Yuan Wang
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Chien-Lin Tseng
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Shou-De Lin
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Detecting Chronic Critics Based on Sentiment Polarity and User’s Behavior in Social Media
Sho Takase
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Akiko Murakami
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Miki Enoki
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Naoaki Okazaki
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Kentaro Inui
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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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A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon
Min Yang
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Dingju Zhu
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Kam-Pui Chow
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POS Tagging for Arabic Tweets
Fahad Albogamy
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Allan Ramsay
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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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SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
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Sara Rosenthal
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Zornitsa Kozareva
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Veselin Stoyanov
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Alan Ritter
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Theresa Wilson
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GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther
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Lenz Furrer
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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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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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REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira
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João Filgueiras
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Bruno Martins
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Francisco Couto
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Mário J. Silva
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senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias
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Hilário Fernandes
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CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han
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Junfei Guo
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Hinrich Schuetze
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sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain
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Aditya Mogadala
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Vasudeva Varma
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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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BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan
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Arda Çelebi
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Arzucan Özgür
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Suzan Üsküdarlı
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nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis
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Rafael Michael Karampatsis
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Konstantina Makrynioti
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John Pavlopoulos
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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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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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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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KUNLPLab:Sentiment Analysis on Twitter Data
Beakal Gizachew Assefa
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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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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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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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SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
Mauro Dragoni
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DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
Abeed Sarker
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Azadeh Nikfarjam
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Davy Weissenbacher
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Graciela Gonzalez
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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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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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DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons
Abeed Sarker
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Graciela Gonzalez
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SentimentalITsts at SemEval-2016 Task 4: building a Twitter sentiment analyzer in your backyard
Cosmin Florean
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Oana Bejenaru
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Eduard Apostol
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Octavian Ciobanu
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Adrian Iftene
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Diana Trandabăţ
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Minions at SemEval-2016 Task 4: or how to build a sentiment analyzer using off-the-shelf resources?
Călin-Cristian Ciubotariu
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Marius-Valentin Hrişca
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Mihail Gliga
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Diana Darabană
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Diana Trandabăţ
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Adrian Iftene
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NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination
Zhengxin Zhang
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Qimin Zhou
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Hao Wu
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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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RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning
Venkatesh Elango
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Karan Uppal
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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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Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs
Ahmed Mourad
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Kareem Darwish
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From newspaper to microblogging: What does it take to find opinions?
Wladimir Sidorenko
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Jonathan Sonntag
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Nina Krüger
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Stefan Stieglitz
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Manfred Stede
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Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Models
Samir Rustamov
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Elshan Mustafayev
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Mark Clements
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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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Enhanced Twitter Sentiment Classification Using Contextual Information
Soroush Vosoughi
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Helen Zhou
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Deb Roy
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Topic-Based Chinese Message Sentiment Analysis: A Multilayered Analysis System
Hongjie Li
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Zhongqian Sun
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Wei Yang
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Bekli:A Simple Approach to Twitter Text Normalization.
Russell Beckley
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Self-Reflective Sentiment Analysis
Benjamin Shickel
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Martin Heesacker
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Sherry Benton
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Ashkan Ebadi
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Paul Nickerson
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Parisa Rashidi
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UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings
Vineet John
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Olga Vechtomova
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Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis
Rong Xiang
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Yunfei Long
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Qin Lu
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Dan Xiong
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I-Hsuan Chen
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Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging
Yongyos Kaewpitakkun
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Kiyoaki Shirai
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Masnizah Mohd
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Using Twitter Data to Infer Personal Values of Japanese Consumers
Yinjun Hu
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Yasuo Tanida
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http://bit.ly/9K4n9p
http://bit.ly/9K4n9p
http://wordlist.sourceforge.net/pos-readme
http://twendz.waggeneredstrom.com/
http://twittersentiment.appspot.com/
http://www.tweetfeel.com/
http://www.cs.pitt.edu/mpqa/
http://oohja.com/x9UbC
http://alias-i.com/lingpipe
Field Of Study
Linguistic Trends
Syntax
Task
Sentiment Analysis
Language
English
Dataset
News
Twitter
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