Abstract is missing.
- Front Matter [doi]
- Sentiment Analysis - What are we talking about?Alexandra Balahur. 1 [doi]
- Sentiment, Subjectivity, and Social Analysis Go ToWork: An Industry View - Invited TalkSeth Grimes. 2 [doi]
- Rumor Identification and Belief Investigation on TwitterSardar Hamidian, Mona T. Diab. 3-8 [doi]
- Modelling Valence and Arousal in Facebook postsDaniel Preotiuc-Pietro, Hansen Andrew Schwartz, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, Lyle H. Ungar, Elisabeth Shulman. 9-15 [doi]
- Purity Homophily in Social Networks - Invited TalkMorteza Dehghani. 16 [doi]
- Hit Songs' Sentiments Harness Public Mood & Predict Stock MarketRachel Harsley, Bhavesh Gupta, Barbara Di Eugenio, Huayi Li. 17-25 [doi]
- Fashioning Data - A Social Media Perspective on Fast Fashion BrandsRupak Chakraborty, Senjuti Kundu, Prakul Agarwal. 26-35 [doi]
- Deep Learning for Sentiment Analysis - Invited TalkRichard Socher. 36 [doi]
- Sentiment Lexicon Creation using Continuous Latent Space and Neural NetworksPedro Miguel Dias Cardoso, Anindya Roy. 37-42 [doi]
- The Effect of Negators, Modals, and Degree Adverbs on Sentiment CompositionSvetlana Kiritchenko, Saif Mohammad. 43-52 [doi]
- How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment AnalysisLingjia Deng, Janyce Wiebe. 53-59 [doi]
- An Unsupervised System for Visual Exploration of Twitter ConversationsDerrick Higgins, Michael Heilman, Adrianna Jelesnianska, Keith Ingersoll. 60-65 [doi]
- Threat detection in online discussionsAksel Wester, Lilja Øvrelid, Erik Velldal, Hugo Lewi Hammer. 66-71 [doi]
- Classification of comment helpfulness to improve knowledge sharing among medical practitionersPierre André Ménard, Caroline Barrière. 72-81 [doi]
- Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political AuthorsAditya Joshi, Pushpak Bhattacharyya, Mark James Carman. 82-90 [doi]
- Early text classification: a Naïve solutionHugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Marcelo Luis Errecalde. 91-99 [doi]
- Semi-supervised and unsupervised categorization of posts in Web discussion forums using part-of-speech information and minimal featuresKrish Perumal, Graeme Hirst. 100-108 [doi]
- Linguistic Understanding of Complaints and Praises in User ReviewsGuangyu Zhou, Kavita Ganesan. 109-114 [doi]
- Reputation System: Evaluating Reputation among All Good SellersVandana Jha, Savitha R, P. Deepa Shenoy, K. R. Venugopal. 115-121 [doi]
- Improve Sentiment Analysis of Citations with Author ModellingZheng Ma, Jinseok Nam, Karsten Weihe. 122-127 [doi]
- Implicit Aspect Detection in Restaurant Reviews using Cooccurence of WordsRrubaa Panchendrarajan, Nazick Ahamed, Brunthavan Murugaiah, Prakhash Sivakumar, Surangika Ranathunga, Akila Pemasiri. 128-136 [doi]
- Domain Adaptation of Polarity Lexicon combining Term Frequency and BootstrappingSalud María Jiménez Zafra, Maite Martín, M. Dolores Molina-González, Luis Alfonso Ureña López. 137-146 [doi]
- Do Enterprises Have Emotions?Sven Buechel, Udo Hahn, Jan Goldenstein, Sebastian G. M. Händschke, Peter Walgenbach. 147-153 [doi]
- A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairsElisavet Palogiannidi, Elias Iosif, Polychronis Koutsakis, Alexandros Potamianos. 154-160 [doi]
- Fracking Sarcasm using Neural NetworkAniruddha Ghosh, Tony Veale. 161-169 [doi]
- An Hymn of an even Deeper Sentiment AnalysisManfred Klenner. 170 [doi]
- Sentiment Analysis in Twitter: A SemEval PerspectivePreslav Nakov. 171-172 [doi]
- The Challenge of Sentiment QuantificationFabrizio Sebastiani. 173 [doi]
- A Practical Guide to Sentiment Annotation: Challenges and SolutionsSaif Mohammad. 174-179 [doi]
- Emotions and NLP: Future DirectionsCarlo Strapparava. 180 [doi]