Identification Technology Analysis And Recognition Process Of Network Public Opinion Semantics

The accelerated process of modern society, the network has become an important channel for people to express personal opinions and views. Network public opinion information has become a key part of public opinion information. Compared with the traditional public opinion, the network public opinion has the characteristics of large amount of data, strong burst and wide influence. Under the background of large data environment, the network public opinion information is more difficult than the traditional media, and it is more difficult to regulate. Therefore, it is an important direction of public opinion research that how to use the semantic recognition technology to dig out the key factors and guide the decision and the processing of the emergency.In this paper, through the analysis of various types of technology to study the semantic recognition of network public opinion, to re establish a set of network public opinion semantic recognition process. The process not only contains the technical details of the semantic recognition of network public opinion, but also to establish a set of network public opinion emergency evaluation criteria to provide reference. The construction of network public opinion semantic recognition process consists of network public opinion information collection module, the network of public opinion and pre processing module, online public opinion topic identification module and the network public opinion feedback module four modules. The main work of the first three modules is public opinion on the network to identify, from vast network information will be the information of network public opinion to be extracted, so the three sub modules is public opinion warning and grooming based;and the network public opinion feedback module is based on analysis of the three sub modules to the results of the identification of the network public opinion situation system, and in the light of opinion emergencies of different of the outbreak of the state put forward corresponding grooming strategies. In this paper, the main position of the current network public opinion on the outbreak of the micro-blog platform to put forward empirical research, select the current hot topic of public opinion to identify the semantic analysis, and early warning emergencies, put forward suggestions.Main innovative points of this paper: the network public opinion information semantic recognition technology are classified. In this paper, the comparative analysis various semantic recognition technology, find the characteristic of the,comparative analysis of the main aspects: information processing accuracy of comparison, the artificial participation, feature library, multimedia information processing ability, deep semantic information mining, technical complexity and versatility, adaptability.The semantic recognition technology of network public opinion information is studied. According to the characteristics of the network public opinion, a technical flow scheme of semantic recognition of network public opinion is proposed. The whole process is divided into several steps, such as information collection,preprocessing, topic analysis, public opinion feedback, and so on. In the process of collecting information in network public opinion, the general web crawler technology for network information crawling; after obtaining the basic data set, the need for information collection pretreatment, after processing the text of the stop words and POS filtering, invalid word filtering, extracting the features of text information then,the text of public opinion information; collection of cluster analysis, the first use of text vector model representation of text information Venus, using K-means clustering algorithm to cluster the text information mining, topic information; finally, emotional tendency of the information extraction, on the strength of the emotional inclinations that sort of public opinion semantic recognition results.