SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
Author:
Affiliation:
1. Nanyang Technological University, Singapore, Singapore
2. Singapore University of Technology and Design, Singapore, Singapore
3. Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Funder
A*STAR
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340531.3412003
Reference61 articles.
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2. SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining;Baccianella Stefano;LREC,2010
3. Marco Baroni Silvia Bernardini Adriano Ferraresi and Eros Zanchetta. 2009. The WaCky wide web: a collection of very large linguistically processed web-crawled corpora. Language resources and evaluation Vol. 43 3 (2009) 209--226. Marco Baroni Silvia Bernardini Adriano Ferraresi and Eros Zanchetta. 2009. The WaCky wide web: a collection of very large linguistically processed web-crawled corpora. Language resources and evaluation Vol. 43 3 (2009) 209--226.
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