关键词: 维吾尔语, 情感极性判别, 点互信息算法, 语料库

Abstract: In order to achieve the orientation of Uyghur web content analysis, this article studies Uyghur sentiment word dictionary building. At first polled analysis is carried out on the existed research results of emotional benchmark words, screening out most frequently used and strong emotional tendency words as Uyghur emotional seed words. Then the seed expand word set is formed by the Uyghur synonyms dictionary system. Secondly implement intersection operation on emotional word set in HowNet, NTUSD and emotional word set distribucted by Dalian university of technology, then translate the words in the set into Uyghur language vocabulary and form the candidate emotional word set. Finally using corpus, the mutual information value is calculated between the word in candidate words set and the word in the seeds set and expand word set. Based on the result the polarity of the candidate word is distinguished and the word is added to the related emotion word library. Compared with Chinese evaluation result, the Uyghur sentence tendentiousness judgment accuracy and recall rate is the same by the Uyghur emotional words set achieved in this paper.

Key words: Uyghur, emotional polarity discrimination, point mutual information algorithm, corpus