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Analysis and Application Research of Text Orientation Based on Semantic

Author: YangTianMing
Tutor: ChengXianYi
School: Jiangsu University
Course: Applied Computer Technology
Keywords: Semantics Text Orientation HNC theory Network public opinion
CLC: TP391.1
Type: Master's thesis
Year: 2009
Downloads: 384
Quote: 3
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Abstract

With the rapid development of Internet technology, and now more and more people through the Internet published their views, exchange of goods and services for a variety of events, the Internet has not only access to information warehouse, and become the people to express their views, forum for the exchange of views, the Internet users, the Internet has not only changed the way they work, but also to change their way of life. Often comment about something or to express their own views, often tendentious, in order to extract useful information from such a wealth of information in the text propensity analysis have come into being. Tendentious analysis of the text, it is now more active in natural language processing field, its purpose is to determine the tendency held to support or oppose an article on the evaluation object. The main work are summarized below: (1) Analysis of the traditional text orientation analysis method, and pointed out that one of the deficiencies. Theoretical knowledge of semantic information and semantic tendency analysis, semantic analysis method of three based on semantic orientation. (2) is proposed the original polarity algorithms HNC-based the semantic correlation method of calculation of the words. Symbol system theory based on the the HNC concept of primitive semantic correlation is proposed on the basis of in-depth to study HNC basic theory, based on the the HNC theory given semantic correlation computing strategy, and the concept of symbol comparison quantitative calculation method . Finally HNC semantic correlation method applied to the words in the original polar analytes, which can be more easily and more accurately calculate the words in the original polarity. (3) propose an improved algorithm to calculate the context of the word polarity. First, the overall framework of the text orientation algorithm is given, then a detailed description of the process of the algorithm. By ignoring the associated word in the sentence may cause the direction or strength of the polar word error has occurred and therefore proposed orientation analysis method based on the context of the words to solve this problem. Using the calculated the breadth of the method of density and strength of the polar components appear in the text, according to the polarity of the words in the distribution to determine the propensity of the comment text. (4) on the basis of theoretical studies, the text orientation analysis applied to network public opinion monitoring system - the State Security Intelligence system, experiments show that will be the text orientation analysis applied to the network public opinion monitoring system can improve the efficiency in the use of the system.

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