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SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal
|
Alan Ritter
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Preslav Nakov
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Veselin Stoyanov
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training
Bing Xiang
|
Liang Zhou
|
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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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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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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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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JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest
Oliver Dürr
|
Fatih Uzdilli
|
Mark Cieliebak
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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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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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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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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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SINAI: Voting System for Twitter Sentiment Analysis
Eugenio Martínez-Cámara
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Salud María Jiménez-Zafra
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Maite Martin
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L. Alfonso Ureña-López
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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
|
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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Synalp-Empathic: A Valence Shifting Hybrid System for Sentiment Analysis
Alexandre Denis
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Samuel Cruz-Lara
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Nadia Bellalem
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Lotfi Bellalem
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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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Think Positive: Towards Twitter Sentiment Analysis from Scratch
Cícero dos Santos
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TJP: Identifying the Polarity of Tweets from Contexts
Tawunrat Chalothorn
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Jeremy Ellman
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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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University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval
Richard Townsend
|
Aaron Kalair
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Ojas Kulkarni
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Rob Procter
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Maria Liakata
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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
|
Filippos Kokkinos
|
Aris Fergadis
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Pinelopi Papalampidi
|
Elias Iosif
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Nikolaos Malandrakis
|
Elisavet Palogiannidi
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Haris Papageorgiou
|
Shrikanth Narayanan
|
Alexandros Potamianos
|
Annotating Uncertainty in Hungarian Webtext
Veronika Vincze
|
Katalin Ilona Simkó
|
Viktor Varga
|
A Supervised Approach for Sentiment Analysis using Skipgrams
Javi Fernández
|
José M. Gómez
|
Patricio Martínez-Barco
|
A Twitter Corpus and Benchmark Resources for German Sentiment Analysis
Mark Cieliebak
|
Jan Milan Deriu
|
Dominic Egger
|
Fatih Uzdilli
|
http://creativecommons.org/licenses/by/4.0/
https://dev.twitter.com
Field Of Study
Task
Tagging
Named Entity Recognition
Sentiment Analysis
Language
English
Dataset
Social Media
Twitter
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