Moilanen, Karo and Pulman, Stephen. (2007). Sentiment Composition. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2007). September 27-29, Borovets, Bulgaria. pp. 378-382.

Abstract

Sentiment classification of grammatical constituents can be explained in a quasi-compositional way. The classification of a complex constituent is derived via the classification of its component constituents and operations on these that resemble the usual methods of compositional semantic analysis. This claim is illustrated with a description of sentiment propagation, polarity reversal, and polarity conflict resolution within various linguistic constituent types at various grammatical levels. We propose a theoretical composition model, evaluate a lexical dependency parsing post-process implementation, and estimate its impact on general NLP pipelines.