| Summary: | 碩士 === 中原大學 === 資訊管理研究所 === 101 === With the development of Web 2.0, sentiment analysis has become a popular research topic in recent years. The goal of sentiment analysis is using an automated method to get implicit sentiment attitudes and correctly identifies the articles to the corrective sentiment orientations. SentiWordNet is an important vocabulary resource in the sentiment analysis. SentiWordnet is based on WordNet. SentiWordNet gives each synset positive, negative, objective sentiment scores. Sentiment analysis can classify the digital text by sentiment score which the synset of SentiWordNet gives. Although, SentiWordNet can help the process of sentiment analysis, it exists disadvantages of word sense disambiguation, which the sense of the word has multiple meanings and further to affect the result of sentiment analysis. In literature, few scholars discuss the problem in the academic field of sentiment analysis. This thesis builds a domain-oriented sentiment lexicon based on SentiWordNet to choice the sense of the word in sentiment analysis, improve word sense disambiguation of SentiWordNet and further to increase the accuracy of sentiment analysis.
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