Conference item
Multi-entity sentiment scoring
- Abstract:
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We present a compositional framework for modelling entity-level sentiment (sub)contexts, and demonstrate how holistic multi-entity polarity scoring emerges as a by-product of compositional sentiment parsing. A data set of five annotators' multi-entity judgements is presented, and a human ceiling is established for the challenging new task. The accuracy of an initial implementation, which includes both supervised learning and heuristic distance-based scoring methods, is 5.6∼6.8 points below th...
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Bibliographic Details
- Pages:
- 258-263
- Host title:
- International Conference Recent Advances in Natural Language Processing, RANLP
- Publication date:
- 2009-01-01
- ISSN:
-
1313-8502
- Source identifiers:
-
354945
Item Description
- Keywords:
- Pubs id:
-
pubs:354945
- UUID:
-
uuid:c8d8e5cd-e122-47b5-a171-3425de3dd7f6
- Local pid:
- pubs:354945
- Deposit date:
- 2013-11-16
Terms of use
- Copyright date:
- 2009
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