Analysis And Application Research Of Text Orientation Based On Semantic

With the rapid development of Internet technology, now more and more people express their views on the services of goods and exchange their opinions on the various events through the Internet. The Internet has not only been the warehouses of obtaining information, but also become to the forums for people expressing views and exchanging opinions. For the Internet users, the Internet has not only changed their working way, but also changed their living way. Usually, people comment on something or express their opinions with orientation. In order to extract the useful information from the rich information, the analysis of the text orientation is born. Analyzing the text orientation is an active area in natural language processing, and the goal is to judge the orientation of the text supportive or negative. The main work of the article is summarized as follows:(1) Describe the methods of the traditional text orientation analysis and point out the deficiency. Through the analysis of semantic information and the theoretical knowledge of semantic orientation, we discuss three kinds of semantic analysis methods based on semantic orientation.(2) Propose an algorithm based on HNC for calculating the original polarity for words. Based on the basic theory of HNC, the method of calculating the semantic-correlation which is based on the system of HNC concepts primitive symbols is presented. Then according to the HNC theory, the calculation strategies for semantic-correlation are proposed and the detailed method of quantitative calculation for comparing the concepts symbols is proposed and realized. Finally, the method of semantic-correlation based on HNC is applied to the analysis of the original polarity for words, so it is easier and more accurate to calculate the original polarity for words(3) Propose an improved algorithm to compute the context polarity for words. First, the overall framework of the text orientation algorithm and then give the detailed description of the algorithm flow. By ignoring the associated words in the sentences may lead to the wrong judgment of the direction and intensity for words, so the orientation analysis method based on context analysis is proposed to solve the problem. Using the method of calculating the extent, the density and the intensity of polarity words, we can determine the orientation of the text according to the distribution of the polarity words.(4) Based on the theoretical research, the analysis of text orientation is applied to the public opinion monitoring system, and the subsystem of public opinion monitoring—the National Security Intelligence System. The experiment shows that, applying the text orientation analysis to the public opinion monitoring system can improve the system efficiency.