Sentiment Composition
Karo Moilanen and Stephen Pulman
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.
Details
| Book Title |
Proceedings of Recent Advances in Natural Language Processing (RANLP 2007) |
| Location |
Borovets‚ Bulgaria |
| Month |
September 27−29 |
| Pages |
378–382 |
| Year |
2007 |
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