The precondition of network public opinion analysis and network content security is based on the accurate and reliable text tendency analysis. In this paper the Chinese emotion dictionary which included HowNet, NTUSD and emotion word dictionary released by Dalian university is implemented intersection operation and union Operation. By selecting, translating for Uighur vocabulary, with the synonymous dictionary, the Uighur emotional polarity dictionary is constructed. At the same time the impact is analyzed and summarized about the Emotional Modifier such as the effect of negative word, degree adverbs and the Sentence's adversative conjunction etc. Then the effect degree is converted into emotional weight value. In the end the weighted algorithm based on the emotion words and the modifier words is designed to decide a sentence emotional polarity. The experiment result proves that this algorithm is basic validity compared to Chinese emotional tendentiousness algorithm by testing on self-built corpus.