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A Study on Topic-based Chinese Opinion Retrieval

Author: LiuQuanSheng
Tutor: YaoTian
School: Shanghai Jiaotong University
Course: Applied Computer Technology
Keywords: View search Chinese viewpoint retrieval Orientation analysis Sentiment Analysis
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 154
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Abstract

With the rapid development of the Internet and the widespread popularity, to a large extent changed the way people live, people are not only passive acceptance of information, but also to interact with the outside world. The Internet is becoming an interactive media, more people record their feelings through the blog B, BS and other network media published comments on a variety of things. From the huge amounts of data on the Internet quickly and efficiently identify and extract information that is essential to the review of an entity. The view retrieval, refers to the use of information retrieval and emotional analysis, looking for a thematic point of reviews and other information. Topic Search-prone analysis work. View retrieval research has become a hot topic of international research. The Chinese text view to retrieve the target Internet users published with emotional tendencies Comment this information for both ordinary network users still have a very important value for the product manufacturers and other organizations. If the government needs to understand the network public opinion; businesses not only need to know for the evaluation of their own products, but also need to have feedback on the performance of competitors' products; potential buyers want to get references and suggestions from the existing evaluation. Therefore, the view is retrieved with high research value and application value. Based on the study on the basis of the theory of information retrieval and text orientation analysis techniques such as at home and abroad view retrieval is proposed opinion retrieval algorithm based on the degree of association of the text, the algorithm considering the the view retrieval process query expansion text relevance, text orientation analysis process to retrieve the final results of the impact of the point of view, theoretically solve the problem viewpoint retrieval interactions between different factors. In addition, the article discusses the current commonly used in some of the ways the point of view of the English text retrieval, applied and discusses the different parameters, the effect of the algorithm in the different resources. In the process set forth above algorithm, we study query expansion algorithms, semantic lexicon construction method and so on. In addition, we use text classification and text orientation analysis based on the emotional word vocabulary fine-grained view search returned. Finally, the above methods, one by one experiment, an experiment to test the effect of the above methods, the experimental results obtained prove that the proposed opinion retrieval algorithm based on the correlation degree can achieve better results, which proves the The method is feasible and effective.

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