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Multi−entity Sentiment Scoring

Abstract:

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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Host title:
Proceedings of Recent Advances in Natural Language Processing (RANLP 2009)
UUID:
uuid:491c113b-d201-4267-87a9-5508397c6ebf
Local pid:
cs:3241
Deposit date:
2015-03-31

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