Conference item

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 the human ceiling amongst sentences and 8.1 8.7 points amongst phrases.

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APA Style

Moilanen, K., & Pulman, S. (2015). Multi−entity Sentiment Scoring. Proceedings of Recent Advances in Natural Language Processing (RANLP 2009).

MLA Style

Moilanen, K., and S. Pulman. “Multi−Entity Sentiment Scoring.” Proceedings of Recent Advances in Natural Language Processing (RANLP 2009), 2015.

Chicago Style

Moilanen, K, and S Pulman. 2015. “Multi−Entity Sentiment Scoring.” In Proceedings of Recent Advances in Natural Language Processing (RANLP 2009).
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Authors

+ Moilanen, K More by this author

Role:: Author

+ Pulman, S More by this author

Role:: Author

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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