Text classification method and device

Abstract

The embodiment of the invention relates to a text classification method in the field of communication. The method comprises the following steps of: phrasing a text to be classified, performing dependence syntax analysis on each sentence and extracting all dependence pairs serving as extracted decision units; searching the types of the extracted decision units from a knowledge base, wherein the knowledge base stores the decision units serving as classification bases and the types and weights of the decision units; accumulating the weight sums of the extracted decision units according to the types; and taking a type with a maximum weight sum as the type of the text to be classified. The embodiment of the invention also provides a corresponding text classification device. The text classification method and the text classification device provided by the embodiment of the invention have the advantages of high classification accuracy, small redundancy rate and capability of effectively resolving conflicts by using a syntactic distance.

Description

technical field [0001] The invention relates to the technical field of text mining, in particular to a text classification method and device. Background technique [0002] Online forums are one of the typical ways of participating in contemporary online life. With the increase in the number of posts, there is an increasing need for a mechanism to classify the published posts, which not only facilitates forum content management, but also greatly facilitates users to choose interesting topic posts. At present, many forums have classification functions, but most of them rely on users to select categories or provide tags when posting posts. The problem with this method is that many users are unwilling to actively select categories or provide tags. The amount of reading, intentionally provides a lot of irrelevant tags. [0003] Based on the above problems, it is necessary to perform text classification on posts in online forums. Text classification (Text Classification, Text Cat...

AI Technical Summary

Problems solved by technology

At present, many forums have classification functions, but most of them rely on users to select categories or provide tags when posting posts. The problem with this method is that many users are unwilling to actively select categories or provide tags. The amount of reading, deliberately providing a lot of irrelevant tags

[0007] 2) May be satisfied "by chance"

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