Based On The The Text Sentiment Network Public Opinion Analysis System

With the rapid development of computer and network communication technology, the Internet as a public expression of public opinion, and dissemination of a new way, more and more people through the network to express their views and opinions of the social news hot. However, it is the network information at an alarming rate increase, make it difficult to be drawn through all the way to read the emotional tendency of a topic.Therefore, the research of this thesis is to a point with a combination of subject. First, from the starting point, the accurate analysis of sentiment text; combined with the theory of public opinion, from level to level--the topic. In the surface level, the participants emotional comprehensive analysis. Then, the emotion as an element of public opinion analysis, the role of public opinion in the analysis of situation. Through this research, trying to find the role of emotions in the public opinion analysis, and put forward feasible identification technology for analysis, emotion is embedded into the public opinion analysis system provides reference method.The main contents and innovations of the dissertation are as follows:(1) For the analysis of network public opinion, sentiment analysis research status at home and abroad were reviewed.(2) Analysis of system design and implementation of relevant technologies such as web crawler, design tools, the experimental object, finally determined is designed and implemented with Java language and MySQL database, through the web crawler technology to capture forum needed to review information, and then to index database information using the Lucene tool.(3) Described in detail based on user input keyword search, display all the information related to this keyword to form at the interface, the user clicks on a theme, the theme will display links to the browser. Click on the emotional analysis topic comment information sentiment analysis algorithm, and then to show up in the form of charts.(4) Details of the knowledge acquisition based on text emotion is a forum (BBS), instant communication software (IM), blog (Blog) on the text content understanding, reach the computing environment interactive text information mining contained emotion knowledge by society, as a means of supplementing the analysis of physiological signals. This research is based on text analysis, including the text semantic analysis, emotional words extraction, emotion expression and the degree of emotional language fuzzy processing, the final attempt to get to the text for the input emotion automatic analysis machine.Finally, at the completion of system design, each part of the modules of the detailed implementation, through the implementation of the prototype system to verify the effectiveness of the algorithm and the design, experimental results show that the effect of better emotion has the system, so it has certain application value.