Paper: Recognition of Affect Judgment and Appreciation in Text

ACL ID C10-1091
Title Recognition of Affect Judgment and Appreciation in Text
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

The main task we address in our research is classification of text using fine-grained attitude labels. The developed @AM sys- tem relies on the compositionality prin- ciple and a novel approach based on the rules elaborated for semantically distinct verb classes. The evaluation of our me- thod on 1000 sentences, that describe personal experiences, showed promising results: average accuracy on the fine- grained level (14 labels) was 62%, on the middle level (7 labels) – 71%, and on the top level (3 labels) – 88%.