Moilanen, Karo and Pulman, Stephen. (2009). Multi-entity Sentiment Scoring.

Moilanen, Karo and Pulman, Stephen. (2009). Multi-entity Sentiment Scoring. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2009). September 14-16, Borovets, Bulgaria. pp. 258--263.

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.