Papers
DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on Twitter
Maria Karanasou, Christos Doulkeridis, Maria Halkidi
UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter
Francesco Barbieri, Francesco Ronzano, Horacio Saggion
CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not
Sarah McGillion, Héctor Martínez Alonso, Barbara Plank
ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm
Delia Irazú Hernández Farías, Emilio Sulis, Viviana Patti et al.
PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11
Parth Gupta, Jon Ander Gómez
LT3: Sentiment Analysis of Figurative Tweets: piece of cake #NotReally
Cynthia Van Hee, Els Lefever, Véronique Hoste
KELabTeam: A Statistical Approach on Figurative Language Sentiment Analysis in Twitter
Hoang Long Nguyen, Trung Duc Nguyen, Dosam Hwang et al.
LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
Hongzhi Xu, Enrico Santus, Anna Laszlo et al.
SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging
Riley Collins, Daniel May, Noah Weinthal et al.
UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015
Xu Han, Binyang Li, Jing Ma et al.
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition
Richard Townsend, Adam Tsakalidis, Yiwei Zhou et al.
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramon F. Astudillo, Silvio Amir, Wang Ling et al.
SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning
Prerna Chikersal, Soujanya Poria, Erik Cambria
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
William Boag, Peter Potash, Anna Rumshisky
SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression
Yousef Alhessi, Richard Wicentowski
SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
Richard Wicentowski
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
Ruth Talbot, Chloe Acheampong, Richard Wicentowski
KLUEless: Polarity Classification and Association
Nataliia Plotnikova, Micha Kohl, Kevin Volkert et al.
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction
Silvio Amir, Ramon F. Astudillo, Wang Ling et al.
Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
Fatih Uzdilli, Martin Jaggi, Dominic Egger et al.
IITPSemEval: Sentiment Discovery from 140 Characters
Ayush Kumar, Vamsi Krishna, Asif Ekbal
UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
Pierpaolo Basile, Nicole Novielli
Sentibase: Sentiment Analysis in Twitter on a Budget
Satarupa Guha, Aditya Joshi, Vasudeva Varma
Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen, Martin Potthast, Michel Büchner et al.
ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
Mayte Giménez, Ferran Pla, Lluís-F. Hurtado