Label extracting method and device

Abstract

The invention belongs to the technical field of information processing, and provides a label extraction method and device. The label extraction method comprises the following steps: obtaining a plurality of pieces of evaluation information of a commodity; extracting candidate labels in each piece of evaluation information according to a preset label syntax rule; carrying out subject analysis on each candidate label through a potential Dirichlet distribution model LDA to obtain the subject probability distribution corresponding to each candidate label, wherein the subject probability distribution comprises the probability of the candidate label belonging to each appointed subject; and determining a candidate label set corresponding to each appointed subject according to the subject probability distribution, and determining a representative label corresponding to the appointed subject according to the weighted value of each candidate label in the candidate label set. According to the method and device, the problem that the existing label extraction algorithm cannot sufficiently solve the short text sparsity problem is solved, and the correctness of the commodity evaluation similarity and the commodity evaluation mining degree are improved.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a label extraction method and device. Background technique [0002] The online shopping mall provides products ranging from small daily necessities to large and expensive home appliances, which greatly saves consumers' shopping time. When shopping online, consumers mainly obtain the overall quality of the product and its usage information through product evaluation. When there are more and more product reviews, consumers will spend more time and energy on browsing product reviews. Therefore, it is necessary to mine product reviews. [0003] However, consumers' comments on commodities are generally short and concise, and labeling these comments belongs to the category of short text mining. Existing label extraction algorithms, such as algorithms based on TF*IDF, information gain, chi-square selection, etc., all have the following deficiencies: [0004...

AI Technical Summary

Problems solved by technology

[0007] In view of this, the embodiment of the present invention provides a tag extraction method and device, which solves the problem that the existing tag extraction algorithm is not good enough to solve the problem of short text sparsity, improves the accuracy of calculating the similarity of commodity evaluation and the accuracy of Degree of Product Review Mining

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