Microblog hot topic analyzing method

Abstract

The invention discloses a microblog hot topic analyzing method. The method comprises the following steps that a microblog collection module obtains microblog data in the mode of combination of a web spider and a microblog third-party api technology according to a collection strategy; key words and sensitive words are called from a word bank through a word segmentation technology, and key words and sensitive words are analyzed out from microblog text data; the microblog webpage text data are filtered according to the analyzed key words, the analyzed sensitive words and emotional tendency words; a hot topic module marks the content involved between the symbols of # and # and between the symbols of [] as a topic through a clustering analysis technology, so that the number of microblog comments is counted; a hot people module analyzes the number of microblog fans and the number of the comments through the clustering analysis technology; a microblog early warning module analyzes out microblog information related to the key words and the sensitive words from the network microblog; an analyzing and counting module automatically generates a brief report through relevant data analyzed out from the system. The accuracy of topic analysis is improved, and detection efficiency is improved.

Description

technical field [0001] The invention relates to an analysis method, in particular to a microblog hot topic analysis method. . Background technique [0002] Weibo is an information sharing, dissemination and acquisition platform based on user relationships. Users can update information in about 140 characters through WEB, WAP and various client components, and realize instant sharing. As a network platform for rapid sharing and dissemination, Weibo has the characteristics of huge amount of information, scattered and diverse information, etc. In China, Sina Weibo and Tencent Weibo are the most popular microblog systems. According to public data, Sina has more than 200 million registered users, and Tencent Weibo has more than 300 million registered users. The public opinion analysis system based on the microblog social network should be able to gather the hot topics in the microblog speeches, track and analyze them, and provide the function of early warning of public opinion....

AI Technical Summary

Problems solved by technology

[0007] Second, the traditional microblog hot topic analysis method does not pay attention to the real-time nature of the search results - the generation time of the hot topic analysis results has no or little impact on the ranking of the results

[0008] However, the research on microblog hot topic analysis methods is still relatively limited. The current research work mainly focuses on the passive data collection of known topics, which cannot guarantee the timeliness of microblog public opinion discovery.

The work of public opinion analysis and early warning often requires the reading and writing of massive data collected by a large number of web crawlers. Traditional file storage or database storage can no longer meet the performance requirements of public opinion analysis.

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