Hadoop platform-based improved parallel KNN online public opinion classification algorithm

A classification algorithm and network public opinion technology, applied in computing, structured data retrieval, instruments, etc., can solve problems such as large amount of data and difficult classification of network public opinion data, and achieve efficient and accurate classification
CN107943947AInactive Publication Date: 2018-04-20贵州商学院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
贵州商学院
Publication Date
2018-04-20
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a Hadoop platform-based improved parallel KNN online public opinion classification algorithm. According to the algorithm, Hadoop distributed storage characters and a MapReduceprogram for designing parallel kNN are utilized to solve problems during the processing of bulk data, and test verification on classification ability and classification efficiency of a parallel kNN algorithm is carried out. Experiment results prove that the Hadoop platform-based improved parallel KNN online public opinion classification algorithm is capable of rapidly, efficiently and correctly classifying online public opinion data when being used for processing bulk online public opinion data.
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Description

technical field

[0001] The invention relates to the technical field of network big data computing, in particular to an improved parallel KNN network public opinion classification algorithm based on Hadoop platform. Background technique

[0002] With the rapid development of mobile Internet, mobile terminals and social platforms, online media such as Weibo and blogs have gradually become an important medium for people to obtain information, and also an important channel for people to release information. Therefore, the daily data volume on the Internet is growing geometrically. increase. Internet public opinion has become an important factor affecting social development and stability. Therefore, it is of practical significance to monitor massive Internet public opinion, timely process sensitive information on the Internet, and classify, analyze, early warning, and guide information on different topics. Due to the large amount of data, unstructured, and decentralized nature o...

Claims

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