Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis

Raksha Sharma, Sudha Bhingardive, Pushpak Bhattacharyya


Anthology ID:
W16-6315
Volume:
Proceedings of the 13th International Conference on Natural Language Processing
Month:
December
Year:
2016
Address:
Varanasi, India
Editors:
Dipti Misra Sharma, Rajeev Sangal, Anil Kumar Singh
Venue:
ICON
SIG:
Publisher:
NLP Association of India
Note:
Pages:
115–119
Language:
URL:
https://aclanthology.org/W16-6315
DOI:
Bibkey:
Cite (ACL):
Raksha Sharma, Sudha Bhingardive, and Pushpak Bhattacharyya. 2016. Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis. In Proceedings of the 13th International Conference on Natural Language Processing, pages 115–119, Varanasi, India. NLP Association of India.
Cite (Informal):
Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis (Sharma et al., ICON 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-6315.pdf