Study Of Knowledge Discovery Of Opinions From Web Reviews

Nowadays，there exist objectively two fields of public opinions. One is society publicopinion field which mainly refers to mainstream media，including newspapers，radio andtelevisions. The other is the private opinions platform which is based on the Internet and theapplications of Web2.0. During the new environment of Web2.0，there are many new formsof the communication added to the public opinion platform. The reviews on the platformhave increased rapidly due to both of the original news commentary，BBS and the newcommunications forms. The new communication methods include the tools as newsaggregation （RSS），Wikipedia （Wiki），instant messaging （IM） as QQ，micro-blog，podcast，taobao and ebay and so on. Recently the Internet users have entered a developmentplatform in which mobile phone has played the most important role. Micro-blog andcommunity also become the sources of online comment views. The new features of theinformation，which are timeless，openness，interactivity，thoughtful and grass-rooted hasbrought many changes on many aspects. People’s life has been influenced by these features.Moreover，it also changes the public opinion evolution information and the mechanism ofpolymerization. Besides the space of the public opinion spreading also has connected withthe new information features.Under the environment of Web2.0，it becomes important to get ideas as well as getaccess to information，while it becomes much more difficult to get valuable informationideas. There are two reasons for illustrating this phenomenon. One is that different peoplewould have different opinions in different ways. And the review ideas often mix opinionswith positive and negative aspects. It will cost a lot time and energy to capture accuratereviews information. The other reason is that the comment information from the publicopinion platform with Web2.0has been polluted by large Web reviews. This kind ofinformation is intermingled with good and bad，multifarious as well as stemming. Whereasthe traditional Web public opinion analysis technology，which mainly focused on the webpages and BBS，has limitations to make analysis about the application of Web2.0. The failureto get authoritative information affects the Web reviews and analysis of information.Therefore，it is necessary for us to carry out the research study about the Web2.0Webreviews information. It will help us to make better exploration to the hidden information inthe Web. Moreover，it will also provide support for making decisions and prediction of thefuture strategies. At the same，it will also enrich the Web reviews the theoretical systeminformation analysis.With Web2.0application of the public opinion platform as the logical starting point，thisthesis has carried out a deeper system research study which focuses on the Web reviews analysis models，reviews on the Web information theory，technology and methods from theperspective of topic clustering. This thesis mainly uses the methods of the integrated use oftext mining，opinion mining，knowledge discovery，LDA topic model，ontology learning，and methods of visualization technology.The main researches this thesis has done are as follows：(1) This thesis has made a comprehensive analysis of the reviews from home and broad andit includes hotspot and frontier as well as application progress of this selected topic.(2) Opinion mining from unstructured text is based on discovery method of aspect-sentimentrelationship，making use of semi-structured explicit view as the extracting key of aspect，sentiment polarity and relationship in comments objects，and constructing opinionknowledge base. So we can solve the problem of context-aware，which will help the wholework of opinion mining.(3) The method of web reviews discovery based on LDA topic clustering model is putforward，including similar comments text clustering and main opinion recognition and deepviews judgment.(4) From a cognitive perspective，analysis of the discovery regulation of web reviews forimplicit cognition and the discovery mode of web reviews based on LDA and opinionmining is conducted. In the educational field network review opinion mining is used as acase study，which provides valuable reference for the research of its application.The innovations of this research include the following three aspects：(1) The opinion knowledge base based on ontology is constructed，and opinion miningmethod based on it is put forward，which will help resolve the problem of context-aware andimprove the dynamic expansion of domain dictionary.(2) Based on the perspective of topic clustering，using LDA topic model，combining theideas of algorithm of opinion separation and integration，we proposed the method of mainopinion recognition and deep views judgment.(3) Based on the general mining of opinion word and depth mining based on topic，byincorporating domain knowledge complementary，the knowledge discovery mode of theview-knowledge-topic multi-base integration from web reviews is constructed.