Using Bilingual Lexicon to Judge Sentiment Orientation of Chinese Words Export

@inproceedings{citeulike:6074502, abstract = {It is a challenging task to identify sentiments (the affective parts of options) of reviews. One of the most important problems is to predict the sentiment orientation of the words. This paper proposes a new method for determining the sentiment orientation of the Chinese words by using bilingual lexicons. Given a Chinese word, we observe the occurrences of English sentiment words in its interpretations, to predict the sentiment orientation of the Chinese word. The whole process can be illustrated logically as follows: (1) translate a Chinese word into Chinese-English interpretation; (2) generate an English word sequence by parsing the interpretation; (3) calculate the sentiment vector from the English word sequence; (4) use a classifier to predict the sentiment orientation for the Chinese word. The performance of two kinds of classifiers (SVM and C4.5) is studied. The experiments show that the proposed method performed well and achieved high accuracy.}, address = {Washington, DC, USA}, author = {Yao, Jianxin and Wu, Gengfeng and Liu, Jian and Zheng, Yu}, booktitle = {CIT '06: Proceedings of the Sixth IEEE International Conference on Computer and Information Technology}, citeulike-article-id = {6074502}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1169767}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/CIT.2006.190}, doi = {10.1109/CIT.2006.190}, isbn = {0-7695-2687-X}, keywords = {analysis, chinese, lexicons, project-cls, sentiment}, pages = {38+}, posted-at = {2009-11-05 13:45:52}, priority = {2}, publisher = {IEEE Computer Society}, title = {Using Bilingual Lexicon to Judge Sentiment Orientation of Chinese Words}, url = {http://dx.doi.org/10.1109/CIT.2006.190}, year = {2006} }

TY - CONF ID - citeulike:6074502 L3 - citeulike-article-id:6074502 N2 - It is a challenging task to identify sentiments (the affective parts of options) of reviews. One of the most important problems is to predict the sentiment orientation of the words. This paper proposes a new method for determining the sentiment orientation of the Chinese words by using bilingual lexicons. Given a Chinese word, we observe the occurrences of English sentiment words in its interpretations, to predict the sentiment orientation of the Chinese word. The whole process can be illustrated logically as follows: (1) translate a Chinese word into Chinese-English interpretation; (2) generate an English word sequence by parsing the interpretation; (3) calculate the sentiment vector from the English word sequence; (4) use a classifier to predict the sentiment orientation for the Chinese word. The performance of two kinds of classifiers (SVM and C4.5) is studied. The experiments show that the proposed method performed well and achieved high accuracy. SN - 0-7695-2687-X AD - Washington, DC, USA TI - Using Bilingual Lexicon to Judge Sentiment Orientation of Chinese Words PB - IEEE Computer Society T2 - CIT '06: Proceedings of the Sixth IEEE International Conference on Computer and Information Technology SP - 38 KW - analysis KW - chinese KW - lexicons KW - project-cls KW - sentiment AU - Yao, Jianxin AU - Wu, Gengfeng AU - Liu, Jian AU - Zheng, Yu PY - 2006/// UR - http://dx.doi.org/10.1109/CIT.2006.190 ER -