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.