Abstract
We introduce DebugSL, a visual (Web) debugging tool for sentiment lexicons (SLs). Its core component implements our algorithms for the automatic detection of polarity inconsistencies in SLs. An inconsistency is a set of words and/or word-senses whose polarity assignments cannot all be simultaneously satisfied. DebugSL finds inconsistencies of small sizes in SLs and has a rich user interface which helps users in the correction process. The project source code is available at https://github.com/atschneid/DebugSL A screencast of DebugSL can be viewed at https://cis.temple.edu/~edragut/DebugSL.webm- Anthology ID:
- N18-5008
- Volume:
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Yang Liu, Tim Paek, Manasi Patwardhan
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 36–40
- Language:
- URL:
- https://aclanthology.org/N18-5008
- DOI:
- 10.18653/v1/N18-5008
- Cite (ACL):
- Andrew Schneider, John Male, Saroja Bhogadhi, and Eduard Dragut. 2018. DebugSL: An Interactive Tool for Debugging Sentiment Lexicons. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 36–40, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- DebugSL: An Interactive Tool for Debugging Sentiment Lexicons (Schneider et al., NAACL 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/N18-5008.pdf
- Code
- atschneid/DebugSL