Automatic blog writer interest and character identifying method based on support vector machine

Abstract

The invention provides an automatic blog writer interest and character identifying method based on a support vector machine. The automatic blog writer interest and character identifying method includes building an interest classified training sample set and a character classified training sample set at first; respectively processing the two training sample sets by a Chinese morphology analyzer to obtain a candidate interest feature item set and a candidate character feature item set; then analyzing the two candidate feature item sets by the aid of a statistics method; building an interest classified feature item set and a character classified feature item set; displaying the interest classified training sample set and the character classified training sample set into vector forms by the two feature item sets; and finally respectively using two groups of training interest classifiers and character classifiers. The classifiers are used for identifying interests and characters of other writers. By the aid of the automatic blog writer interest and character identifying method, the interests and the characters of the writers can be accurately identified, the method is applied to various personal services based on information of the writers, service providers can sufficiently know users, service quality is improved, and the method has an extremely high practical value.

Description

technical field [0001] The invention relates to a blog mining technology, in particular to a method for automatically identifying bloggers' interest and character based on a support vector machine. Background technique [0002] With the rapid development of the Internet, network communication methods are becoming more and more diverse. As a new way of network communication, blog has the advantages of simple use, strong personalization, good real-time performance and strong interaction, so it has attracted more and more people's attention. According to the "25th Statistical Report on Internet Development in China" released by China Internet Network Information Center (CNNIC), as of December 2009, the number of blog users reached 2.21 billion. Among them, the scale of active blogs has been further expanded, and the number of bloggers who have updated the blog space within half a year has reached 145 million. [0003] Today, blog applications have penetrated into every field ...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the huge amount of current blog users, the lack of personalization services based on blogs, the large cost of manually collecting or inferring authors' personal information, and the difficulty in implementation, the present invention provides an automatic recognition method for bloggers' interests and personalities based on support vector machines

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