Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
- Anthology ID:
- W15-2911
- Volume:
- Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
- Month:
- September
- Year:
- 2015
- Address:
- Lisboa, Portugal
- Editors:
- Alexandra Balahur, Erik van der Goot, Piek Vossen, Andres Montoyo
- Venue:
- WASSA
- SIGs:
- SIGNLL | SIGSEM | SIGANN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 77–84
- Language:
- URL:
- https://aclanthology.org/W15-2911
- DOI:
- 10.18653/v1/W15-2911
- Cite (ACL):
- Lucie Flekova, Daniel Preoţiuc-Pietro, and Eugen Ruppert. 2015. Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words. In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 77–84, Lisboa, Portugal. Association for Computational Linguistics.
- Cite (Informal):
- Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words (Flekova et al., WASSA 2015)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/W15-2911.pdf