| Title | AM: textual attitude analysis model |
| Publication Type | Conference Paper |
| Year of Publication | 2010 |
| Authors | Neviarouskaya A, Prendinger H, Ishizuka M |
| Conference Name | NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text |
| Publisher | Association for Computational Linguistics |
| Conference Location | Los Angeles, California |
| Abstract | The automatic analysis and classification of text using fine-grained attitude labels is the main task we address in our research. The developed @AM system relies on compositionality principle and a novel approach based on the rules elaborated for semantically distinct verb classes. The evaluation of our method on 1000 sentences, that describe personal experiences, showed promising results: average accuracy on fine-grained level was 62%, on middle level - 71%, and on top level - 88%. |
| URL | http://portal.acm.org/citation.cfm?id=1860631.1860641 |
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