Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis
- 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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/W16-6315.pdf