How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis

Lingjia Deng, Janyce Wiebe


Anthology ID:
W16-0411
Volume:
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
June
Year:
2016
Address:
San Diego, California
Venues:
WASSA | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
53–59
Language:
URL:
https://aclanthology.org/W16-0411
DOI:
10.18653/v1/W16-0411
Bibkey:
Cite (ACL):
Lingjia Deng and Janyce Wiebe. 2016. How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis. In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 53–59, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis (Deng & Wiebe, 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-0411.pdf