Automated genre-based multi-domain sentiment lexicon adaptation using unlabeled data

Author:

Sanagar Swati1,Gupta Deepa1

Affiliation:

1. Department of Computer Science & Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference34 articles.

1. Araque O. , Guerini M. , Strapparava C. and Iglesias C.A. , Neural domain adaptation of sentiment lexicons. Seventh international conference on affective computingand intelligent interaction workshops and demos 2017, pp. 105–110.

2. Blitzer J. , Dredze M. and Pereira F. , Biographies, Bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification In: Proceedings of 45th annual meeting of the Association of Computational Linguistics, Prague, Czech Republic, 2007, pp. 440–47.

3. Clustering by passing messages between data points;Brendan;Science,2007

4. Choi Y. and Cardie C. , Adapting a polarity lexicon using integer linear programming for domain-specific sentiment classification. In proceedings of the conference on Empirical Methods in Natural Language Processing, 2009, pp. 590–598.

5. Word association norms, mutual information, and lexicography;Church;Computational Linguist,1990

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