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Front matter |
pages |
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Multilingual Affect Polarity and Valence Prediction in Metaphors
Zornitsa Kozareva |
pp. 1–1 |
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Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez |
pp. 2–8 |
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Connotation in Translation
Marine Carpuat |
pp. 9–15 |
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Enhanced Twitter Sentiment Classification Using Contextual Information
Soroush Vosoughi, Helen Zhou and deb roy |
pp. 16–24 |
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Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya and Mark Carman |
pp. 25–30 |
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Optimising Agile Social Media Analysis
Thomas Kober and David Weir |
pp. 31–40 |
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Utilizing review analysis to suggest product advertisement improvements
Takaaki Tsunoda, Takashi Inui and Satoshi Sekine |
pp. 41–50 |
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Towards Opinion Mining from Reviews for the Prediction of Product Rankings
Wiltrud Kessler, Roman Klinger and Jonas Kuhn |
pp. 51–57 |
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Classification of deceptive opinions using a low dimensionality representation
Leticia Cagnina and Paolo Rosso |
pp. 58–66 |
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Extending effect annotation with lexical decomposition
Josef Ruppenhofer and Jasper Brandes |
pp. 67–76 |
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Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
Lucie Flekova, Daniel Preotiuc-Pietro and Eugen Ruppert |
pp. 77–84 |
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Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget’s Thesaurus
Saif Mohammad |
pp. 85–91 |
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Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week
Barbara Plank and Dirk Hovy |
pp. 92–98 |
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Negation Scope Detection for Twitter Sentiment Analysis
Johan Reitan, Jørgen Faret, Björn Gambäck and Lars Bungum |
pp. 99–108 |
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A Linguistically Informed Convolutional Neural Network
Sebastian Ebert, Ngoc Thang Vu and Hinrich Schütze |
pp. 109–114 |
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How much does word sense disambiguation help in sentiment analysis of micropost data?
Chiraag Sumanth and Diana Inkpen |
pp. 115–121 |
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Predicting Ratings for New Movie Releases from Twitter Content
Wernard Schmit and Sander Wubben |
pp. 122–126 |
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Beyond Sentiment: Social Psychological Analysis of Political Facebook Comments in Hungary
Márton Miháltz, Tamás Váradi, István Csertő, Éva Fülöp, Tibor Pólya and Pál Kővágó |
pp. 127–133 |
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Verb-centered Sentiment Inference with Description Logics
Manfred Klenner |
pp. 134–139 |
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Mining HEXACO personality traits from Enterprise Social Media
Priyanka Sinha, Lipika Dey, Pabitra Mitra and Anupam Basu |
pp. 140–147 |
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Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
Michael Wiegand, Marc Schulder and Josef Ruppenhofer |
pp. 148–155 |
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Synthetic Text Generation for Sentiment Analysis
Umar Maqsud |
pp. 156–161 |
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Detecting speculations, contrasts and conditionals in consumer reviews
Maria Skeppstedt, Teri Schamp-Bjerede, Magnus Sahlgren, Carita Paradis and Andreas Kerren |
pp. 162–168 |
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Using Combined Lexical Resources to Identify Hashtag Types
Credell Simeon and Robert Hilderman |
pp. 169–174 |
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Sentiment Classification via a Response Recalibration Framework
Phillip Smith and Mark Lee |
pp. 175–180 |
Last modified on September 3, 2015, 1:56 a.m.