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ORCID5th WASSA@ACL 2014: Baltimore, Maryland, USA
- Alexandra Balahur, Erik Van der Goot, Ralf Steinberger, Andrés Montoyo:
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@ACL 2014, June 27, 2014, Baltimore, Maryland, USA. The Association for Computer Linguistics 2014, ISBN 978-1-941643-11-2 - Saif M. Mohammad:
Words: Evaluative, Emotional, Colourful, Musical! 1 - Jakob Elming, Barbara Plank, Dirk Hovy:
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages. 2-7 - Lingjia Deng, Janyce Wiebe:
An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar ! 8-17 - Manfred Klenner, Michael Amsler, Nora Hollenstein:
Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives. 18-23 - Josef Steinberger, Tomás Brychcín, Michal Konkol:
Aspect-Level Sentiment Analysis in Czech. 24-30 - Myle Ott:
Linguistic Models of Deceptive Opinion Spam. 31 - Saif M. Mohammad, Xiaodan Zhu, Joel D. Martin:
Semantic Role Labeling of Emotions in Tweets. 32-41 - Konstantin Buschmeier, Philipp Cimiano, Roman Klinger:
An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews. 42-49 - Francesco Barbieri, Horacio Saggion, Francesco Ronzano:
Modelling Sarcasm in Twitter, a Novel Approach. 50-58 - Michal Ptaszynski, Fumito Masui, Rafal Rzepka
, Kenji Araki:
Emotive or Non-emotive: That is The Question. 59-65 - Alexandra Balahur, Hristo Tanev, Erik Van der Goot:
Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining. 66 - Ilia Chetviorkin, Natalia V. Loukachevitch:
Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams. 67-72 - Gerard Lynch, Pádraig Cunningham:
Linguistically Informed Tweet Categorization for Online Reputation Management. 73-78 - Yoon Kim, Owen Zhang:
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification. 79-83 - Tatiana Gasanova, Roman B. Sergienko, Shakhnaz Akhmedova, Eugene Semenkin, Wolfgang Minker:
Opinion Mining and Topic Categorization with Novel Term Weighting. 84-89 - Hugo Lewi Hammer, Per Erik Solberg, Lilja Øvrelid:
Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method. 90-96 - Lu Wang, Claire Cardie:
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. 97-106 - Yoonjung Choi, Lingjia Deng, Janyce Wiebe:
Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events. 107-112 - Nikhilkumar Jadhav, Pushpak Bhattacharyya:
Dive deeper: Deep Semantics for Sentiment Analysis. 113-118 - Siavash Kazemian, Shunan Zhao, Gerald Penn:
Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading. 119-127 - Dai Quoc Nguyen, Dat Quoc Nguyen, Thanh Vu, Son Bao Pham:
Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features. 128-135 - Itir Onal, Ali Mert Ertugrul, Ruken Cakici:
Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data. 136-141 - Abhijit Mishra, Aditya Joshi, Pushpak Bhattacharyya:
A cognitive study of subjectivity extraction in sentiment annotation. 142-146 - Wanting Mao, Lu Xiao, Robert E. Mercer:
The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations. 147-153 - Janyce Wiebe, Lingjia Deng:
A Conceptual Framework for Inferring Implicatures. 154-159
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