Data intensive review mining for sentiment classification across heterogeneous domains
Author:
Affiliation:
1. Genoa University, Genova - Italy
2. National University of Singapore, Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2492517.2500280
Reference12 articles.
1. Opinion Mining and Sentiment Analysis
2. E. Cambria and A. Hussain Sentic Computing: Techniques Tools and Applications. Heidelberg: Springer (2012) E. Cambria and A. Hussain Sentic Computing: Techniques Tools and Applications. Heidelberg: Springer (2012)
3. Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus
4. Contextual Valence Shifters;Polanyi L.;Shanahan, Yan Qu and J. Wiebe, eds., Springer,2006
5. AI and Opinion Mining
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