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Browse news sentiment analysis based on key technology platforms

Author: YuMo
Tutor: ZhaoTieJun
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Text Clustering Sentiment Analysis Dirichlet process Dependency Parsing
CLC: TP391.1
Type: Master's thesis
Year: 2011
Downloads: 99
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Abstract


As the network of traditional publications and media impact , users browse for news habits have changed , more and more people develop a daily news on the web browsing habits. This paper studies how to efficiently and accurately from the mass of news and news commentary found in the network information of interest to readers . This article first news clustering problem, with a hope based on news events included the news better organized . In the news cluster is defined as the combination of a variety of different features based on text clustering problem , we use two classical clustering methods , K -means clustering and hierarchical clustering combined clustering problem in the news on to try and make Dirichlet process based clustering method . On this basis , the paper these three clustering method is extended to use a variety of different features in the case , and presents a variety of features that can be used simultaneously Dirichlet process clustering methods . This article will target candidates emotional news clustering problem is defined as the extraction of high-frequency news clustering named entity extraction problems , and proposed for fast text extraction method named entity . Meanwhile , this paper presents the news of the named entity as a new feature auxiliary news clustering method . Target candidates in obtaining emotional basis , the paper proposes the application of dependency syntactic comment on the news related to the objectives of emotion sentiment analysis methods , and gives the rule-based and statistical -based objectives related to both emotional sentiment analysis methods to Comments can follow emotions and feelings for the target tissue and provide them to the user. Experiments show that the proposed clustering method and emotional news related to the objectives of the task of sentiment analysis to improve accuracy , efficient completion of the tasks proposed in this paper .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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