Affective computing
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Table-driven neural syntactic analysis of spoken Korean
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Mining comparative sentences and relations
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Recognizing stances in online debates
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Language-specific sentiment analysis in morphologically rich languages
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Extracting and ranking product features in opinion documents
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Extracting events and event descriptions from Twitter
Proceedings of the 20th international conference companion on World wide web
Opinion word expansion and target extraction through double propagation
Computational Linguistics
Target-dependent Twitter sentiment classification
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Topical keyphrase extraction from Twitter
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
Proceedings of the 20th ACM international conference on Information and knowledge management
Text Mining for Opinion Target Detection
EISIC '11 Proceedings of the 2011 European Intelligence and Security Informatics Conference
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Spotting fake reviewer groups in consumer reviews
Proceedings of the 21st international conference on World Wide Web
Opinion influence and diffusion in social network
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Semantic sentiment analysis of twitter
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Beyond the basic emotions: what should affective computing compute?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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In this paper, the authors propose a novel bias detection method based on social preference learning for targets on competing topics such as "GalaxyTab vs. iPad" in Twitter. People tend to evaluate a topic by expressing their opinions towards the associated targets such as price and quality. To exploit characteristics of social data, targets are extracted by a modified HITS algorithm on a tripartite graph. The main contribution is that social preferences are learned with explicit sentiment, latent sentiment as social semantics, and lexical sentiment as contextual semantics on targets of the topic, and that the individual preference is considered together with social preferences for the bias detection of a tweet. Experimental results on Twitter collection show significant improvements over all baseline methods. The results indicate that the method deals with not only the lack of a sentiment lexicon but also social and contextual semantics on targets of social users.