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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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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
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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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
|
Ming Zhou
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Ting Liu
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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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On the Impact of Seed Words on Sentiment Polarity Lexicon Induction
Dame Jovanoski
|
Veno Pachovski
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Preslav Nakov
|
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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Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Marek Rei
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Anders Søgaard
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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
|
Liang Zhou
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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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USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Ganesh Harihara
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Eugene Yang
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Nathanael Chambers
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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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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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OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
Alexandra Balahur
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FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodríguez-Penagos
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Jordi Atserias Batalla
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Joan Codina-Filbà
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David García-Narbona
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Jens Grivolla
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Patrik Lambert
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Roser Saurí
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teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Hilke Reckman
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Cheyanne Baird
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Jean Crawford
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Richard Crowell
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Linnea Micciulla
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Saratendu Sethi
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Fruzsina Veress
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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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UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi
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Michael Rosner
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bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh
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SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal
|
Alan Ritter
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Preslav Nakov
|
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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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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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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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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Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter
Hussam Hamdan
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Patrice Bellot
|
Frederic Bechet
|
ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
Mayte Giménez
|
Ferran Pla
|
Lluís-F. Hurtado
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INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramon Astudillo
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Silvio Amir
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Wang Ling
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Bruno Martins
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Mario J. Silva
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Isabel Trancoso
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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
|
Yuxiao Zhang
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Gaoyan Ou
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Tengjiao Wang
|
Kam-fai Wong
|
EliXa: A Modular and Flexible ABSA Platform
Iñaki San Vicente
|
Xabier Saralegi
|
Rodrigo Agerri
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Feeling is Understanding: From Affective to Semantic Spaces
Elias Iosif
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Alexandros Potamianos
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Sentiment Analysis in Twitter: A SemEval Perspective
Preslav Nakov
|
http://www.daedalus.es/TASS/corpus.php
http://wing.comp.nus.edu.sg/SMSCorpus/
http://www.cs.york.ac.uk/semeval-2013/task2/
http://creativecommons.org/licenses/by/3.0/
Field Of Study
Linguistic Trends
Discourse
Task
Named Entity Recognition
Sentiment Analysis
Language
English
Dataset
Social Media
Twitter
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