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WORKSHOP PROGRAM
Thursday, September 17, 2015 | |
09:00–09:05 | Opening Remarks |
09:05–09:40 | Invited talk |
Multilingual Affect Polarity and Valence Prediction in Metaphors Zornitsa Kozareva | |
09:40–10:30 | Session 1: Multilingual Sentiment Analysis in Social Media |
09:40–10:10 | Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez |
10:10–10:30 | Connotation in Translation Marine Carpuat |
10:30–11:00 | Coffee Break |
11:00–12:30 | Session 2: The Influence of Context for Sentiment Analysis in Social Media |
11:00–11:30 | Enhanced Twitter Sentiment Classification Using Contextual Information Soroush Vosoughi, Helen Zhou and deb roy |
11:30–12:00 | Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya and Mark Carman |
12:00–12:30 | Optimising Agile Social Media Analysis Thomas Kober and David Weir |
12:30–14:00 | Lunch Break |
14:00–15:30 | Session 3: Beyond Review Mining |
14:00–14:30 | Utilizing review analysis to suggest product advertisement improvements Takaaki Tsunoda, Takashi Inui and Satoshi Sekine |
14:30–15:00 | Towards Opinion Mining from Reviews for the Prediction of Product Rankings Wiltrud Kessler, Roman Klinger and Jonas Kuhn |
15:00–15:30 | Classification of deceptive opinions using a low dimensionality representation Leticia Cagnina and Paolo Rosso |
15:30–16:00 | Coffee Break |
16:00–17:20 | Session 4: Lexicon Generation and Visualisation for Sentiment Analysis |
16:00–16:30 | Extending effect annotation with lexical decomposition Josef Ruppenhofer and Jasper Brandes |
16:30–17:00 | Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words Lucie Flekova, Daniel Preotiuc-Pietro and Eugen Ruppert |
17:00–17:20 | Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget’s Thesaurus Saif Mohammad |
17:20–17:30 | Break |
17:30–19:20 | Session 5: Posters |
Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week Barbara Plank and Dirk Hovy | |
Negation Scope Detection for Twitter Sentiment Analysis Johan Reitan, Jørgen Faret, Björn Gambäck and Lars Bungum | |
A Linguistically Informed Convolutional Neural Network Sebastian Ebert, Ngoc Thang Vu and Hinrich Schütze | |
How much does word sense disambiguation help in sentiment analysis of micropost data? Chiraag Sumanth and Diana Inkpen | |
Predicting Ratings for New Movie Releases from Twitter Content Wernard Schmit and Sander Wubben | |
Beyond Sentiment: Social Psychological Analysis of Political Facebook Comments in Hungary Márton Miháltz, Tamás Váradi, István Csertő, Éva Fülöp, Tibor Pólya and Pál Kővágó | |
Verb-centered Sentiment Inference with Description Logics Manfred Klenner | |
Mining HEXACO personality traits from Enterprise Social Media Priyanka Sinha, Lipika Dey, Pabitra Mitra and Anupam Basu | |
Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved Michael Wiegand, Marc Schulder and Josef Ruppenhofer | |
Synthetic Text Generation for Sentiment Analysis Umar Maqsud | |
Detecting speculations, contrasts and conditionals in consumer reviews Maria Skeppstedt, Teri Schamp-Bjerede, Magnus Sahlgren, Carita Paradis and Andreas Kerren | |
Using Combined Lexical Resources to Identify Hashtag Types Credell Simeon and Robert Hilderman | |
Sentiment Classification via a Response Recalibration Framework Phillip Smith and Mark Lee | |
19:20–19:30 | Closing discussion - "Where do we go from here?" |