SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis-Reference-Cited by-同舟云学术

SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Cambria Erik¹,Li Yang¹,Xing Frank Z.¹,Poria Soujanya²,Kwok Kenneth³

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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