Enhanced cross-domain sentiment classification utilizing a multi-source transfer learning approach

Author:

Khan Farhan Hassan,Qamar Usman,Bashir Saba

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference47 articles.

1. Ash JT, Schapire RE (2016) Multi-source domain adaptation using approximate label matching. arXiv preprint arXiv:1602.04889

2. Baccianella S, Esuli A, Sebastiani F (2010) SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. LREC 10:2200–2204

3. Balahur A (2013) Sentiment analysis in social media texts. In: 4th workshop on computational approaches to subjectivity, sentiment and social media analysis, pp 120–128

4. Blitzer J, Dredze M, Pereira F (2007) Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In: ACL, vol 7, pp 440–447

5. Bollegala D, Weir D, Carroll J (2013) Cross-domain sentiment classification using a sentiment sensitive thesaurus. IEEE Trans Knowl Data Eng 25(8):1719–1731

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