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Analysis on degree words for Chinese emotion expressions based on syntactic parse and rules

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3 Author(s)
Yan Sun ; Inst. of Technol. & Sci., Univ. of Tokushima, Tokushima, Japan ; Changqin Quan ; Ren, F.

Analysis of emotions in texts has wide-ranging applications. In the analysis of emotional expressions, degree words are important for expressing emotion intensity of emotions. With the support of a large Chinese emotion corpus (Ren-CECps), in this paper, we present analysis on degree words for Chinese emotion expressions based on syntactic parse and rules. At first, Ren-CECps is used to extract the rules of degree words and their modifying elements. Then, we make a contrast analysis on emotion intensities of emotional words with and without modified by degree words. The quantity level for degree words is presented. Based on the extracted rules and quantity degree, a method of sentence parse is used to extract the modifying elements of degree words and to get the emotion intensity of emotional words when they are modified by degree words in sentences.

Published in:

Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on

Date of Conference:

24-27 Sept. 2009