Network-based method for analyzing opinion information in discrete text

Abstract

The invention relates to a network-based system for analyzing opinion information in a discrete text, belonging to the field of network information safety. The system comprises the following modules: a discrete text information acquisition module which acquires network information in a preset analysis cycle, a discrete text information tracking and restoring module which restores ellipsis and remote anaphora in the original content to obtain a text which contains a relatively complete text structure and semantic information, a semantic information mining and characteristic extracting module which realizes semantic information mining and characteristic extracting on text information by utilizing a latent semantic indexing technology, an opinion information clustering module which realizes information clustering by combining a niche genetic algorithm with a K-Means method, a hot opinion event discovery module which mines the hot opinion in the obtained topic and event, and a background information processing and data supporting center which analyzes data and provides a repertoire specially for a network, new words in the network, the existing class information and the existing hot topics. By applying the invention, the problem that information analysis is influenced as the text structure of the existing network opinion information is incomplete, ellipsis and remote anaphora are more and the new works in the network are more is solved, and the accuracy for discovery of the opinion and hot event is improved by adopting a high-efficiency clustering method.

Description

technical field [0001] The invention relates to network information analysis, in particular to a public opinion information analysis method based on network discrete text. Background technique [0002] With the development of Internet technology and the improvement of people's living standards, the Internet has become the most important platform for people to obtain information and communicate daily. According to the 26th Statistical Report on Internet Development in China released by CNNIC, the number of Internet users in China reached 420 million, and among the new Internet users in the first half of the year, 62% were mobile Internet users. These data provide insight into the current size and prospects of China's Internet, and also show that the way people communicate has evolved from traditional ways to computer networks and mobile phone networks. Remarks on the Internet are the real-time opinions of netizens, which will have a huge impact on social public opinion and i...

AI Technical Summary

Problems solved by technology

At the same time, in today's network communication platforms, new words and Internet terms with special meanings are more important to the reactions of Internet users' opinions. Statistical methods alone cannot obtain the semantic information of these words, so topics and events cluster The accuracy of the class will be affected

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