Survey of Techniques for Opinion Mining
作者： Vilas Thakre , Nilesh M. Shelke , Shriniwas Deshpande
DOI:
关键词: Sentiment analysis 、 Subjectivity 、 Computer science 、 Support vector machine 、 Data science 、 Principle of maximum entropy 、 Work (electrical) 、 Information seeking
摘要: Opinion mining refers to computational techniques for analyzing the opinions that are extracted from various sources. Existing research work on is based upon business and e-commerce such as product reviews movie ratings. involves treatment of opinion subjectivity in text. It has suddenly attracted attention researcher fraternity. This survey paper describes approaches promise directly enable opinion-oriented information seeking systems. An attempt been made discuss de tails perform a sentiments opinions. Various supervised or data-driven like Naive Byes, Maximum Entropy, SVM discussed their strengths drawbacks touched upon.
ijcaonline.org参考文章(30)
Alina Andreevskaia, Sabine Bergler, Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses conference of the european chapter of the association for computational linguistics. pp. 209- 216 ,(2006)
Janyce Wiebe, Ellen Riloff, Creating Subjective and Objective Sentence Classifiers from Unannotated Texts Computational Linguistics and Intelligent Text Processing. ,vol. 3406, pp. 486- 497 ,(2005) , 10.1007/978-3-540-30586-6_53
Rebecca Hwa, Janyce Wiebe, Theresa Wilson, Just how mad are you? finding strong and weak opinion clauses national conference on artificial intelligence. pp. 761- 767 ,(2004)
Kamal Nigam, Andrew McCallum, A comparison of event models for naive bayes text classification national conference on artificial intelligence. pp. 41- 48 ,(1998)
Albert Mehrabian, Framework for a comprehensive description and measurement of emotional states. Genetic Social and General Psychology Monographs. ,vol. 121, pp. 339- 361 ,(1995)
David D. Lewis, Naive (Bayes) at forty: The independence assumption in information retrieval Machine Learning: ECML-98. pp. 4- 15 ,(1998) , 10.1007/BFB0026666
Maarten de Rijke, Jaap Kamps, Maarten Marx, Robert J. Mokken, Using WordNet to measure semantic orientations of adjectives language resources and evaluation. pp. 1115- 1118 ,(2004)
Gang Li, Fei Liu, A clustering-based approach on sentiment analysis ieee international conference on intelligent systems and knowledge engineering. pp. 331- 337 ,(2010) , 10.1109/ISKE.2010.5680859
Paul Ekman, An argument for basic emotions Cognition & Emotion. ,vol. 6, pp. 169- 200 ,(1992) , 10.1080/02699939208411068
Vasileios Hatzivassiloglou, Janyce M. Wiebe, Effects of adjective orientation and gradability on sentence subjectivity international conference on computational linguistics. pp. 299- 305 ,(2000) , 10.3115/990820.990864