Abstract is missing.
- Front Matter [doi]
- Words: Evaluative, Emotional, Colourful, Musical!Saif Mohammad. 1 [doi]
- Robust Cross-Domain Sentiment Analysis for Low-Resource LanguagesJakob Elming, Barbara Plank, Dirk Hovy. 2-7 [doi]
- An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar !Lingjia Deng, Janyce Wiebe. 8-17 [doi]
- Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of AdjectivesManfred Klenner, Michael Amsler, Nora Hollenstein. 18-23 [doi]
- Aspect-Level Sentiment Analysis in CzechJosef Steinberger, Tomás Brychcín, Michal Konkol. 24-30 [doi]
- Linguistic Models of Deceptive Opinion SpamMyle Ott. 31 [doi]
- Semantic Role Labeling of Emotions in TweetsSaif Mohammad, Xiaodan Zhu, Joel D. Martin. 32-41 [doi]
- An Impact Analysis of Features in a Classification Approach to Irony Detection in Product ReviewsKonstantin Buschmeier, Philipp Cimiano, Roman Klinger. 42-49 [doi]
- Modelling Sarcasm in Twitter, a Novel ApproachFrancesco Barbieri, Horacio Saggion, Francesco Ronzano. 50-58 [doi]
- Emotive or Non-emotive: That is The QuestionMichal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki. 59-65 [doi]
- Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media MiningAlexandra Balahur, Hristo Tanev, Erik Van der Goot. 66 [doi]
- Two-Step Model for Sentiment Lexicon Extraction from Twitter StreamsIlia Chetviorkin, Natalia V. Loukachevitch. 67-72 [doi]
- Linguistically Informed Tweet Categorization for Online Reputation ManagementGerard Lynch, Pádraig Cunningham. 73-78 [doi]
- Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text ClassificationYoon Kim, Owen Zhang. 79-83 [doi]
- Opinion Mining and Topic Categorization with Novel Term WeightingTatiana Gasanova, Roman B. Sergienko, Shakhnaz Akhmedova, Eugene Semenkin, Wolfgang Minker. 84-89 [doi]
- Sentiment classification of online political discussions: a comparison of a word-based and dependency-based methodHugo Lewi Hammer, Per Erik Solberg, Lilja Øvrelid. 90-96 [doi]
- Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment LexiconLu Wang, Claire Cardie. 97-106 [doi]
- Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive EventsYoonjung Choi, Lingjia Deng, Janyce Wiebe. 107-112 [doi]
- Dive deeper: Deep Semantics for Sentiment AnalysisNikhilkumar Jadhav, Pushpak Bhattacharyya. 113-118 [doi]
- Evaluating Sentiment Analysis Evaluation: A Case Study in Securities TradingSiavash Kazemian, Shunan Zhao, Gerald Penn. 119-127 [doi]
- Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based FeaturesDai Quoc Nguyen, Dat Quoc Nguyen, Thanh Vu, Son Bao Pham. 128-135 [doi]
- Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter DataItir Onal, Ali Mert Ertugrul, Ruken Cakici. 136-141 [doi]
- A cognitive study of subjectivity extraction in sentiment annotationAbhijit Mishra, Aditya Joshi, Pushpak Bhattacharyya. 142-146 [doi]
- The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online DeliberationsWanting Mao, Lu Xiao, Robert E. Mercer. 147-153 [doi]
- A Conceptual Framework for Inferring ImplicaturesJanyce Wiebe, Lingjia Deng. 154-159 [doi]