@AM: Textual Attitude Analysis Model
نویسندگان
چکیده
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%.
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