Comment analysis method and device based on semantic perception

An analysis method and semantic technology, applied in the computer field, can solve problems such as incomprehension, unsatisfactory accuracy, and inability to fully understand comment semantics, and achieve the effect of improving accuracy

Pending Publication Date: 2022-05-13
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the topic discovery task is mainly used to identify topics / aspects (e.g., compatibility, updates, network, etc.) involved in user reviews, but developers still cannot understand which specific features of the App users are complaining about.
On the other hand, keyphrase extraction tasks mainly utilize heuristic-based techniques (such as part-of-speech templates, parse trees, and semantic dependency graphs) to extract target phrases, which cannot fully understand the semantics of reviews, so their accuracy cannot make people are satisfied

Method used

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  • Comment analysis method and device based on semantic perception
  • Comment analysis method and device based on semantic perception
  • Comment analysis method and device based on semantic perception

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Apparently, the described embodiments are only specific embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners can be obtained by persons of ordinary skill in the art without making creative efforts.

[0038] The comment analysis method of the present invention is a demand understanding technology, which automatically extracts defect characteristics through a defect characteristic identification model, clusters defect characteristics based on a graph-based clustering method, and uses a visualization method to present the clustered defect characteristics in each cluster distribution in, such as figure 1 As shown, the main steps include:

[0039] 1. Data preprocessing: Crawl App user comments from the online...

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Abstract

The invention discloses a comment analysis method and device based on semantic perception. The comment analysis method comprises the steps of collecting a comment text of a target application; dividing each evaluation text into at least one sentence; comment attributes of the comment text are extracted; splicing the vector of each word in the sentence with the vector of the comment attribute; based on a splicing result, calculating a probability vector of a word BIO tag to obtain defect characteristics in the evaluation text; and clustering the defect characteristics to obtain a comment analysis result. According to the method, a defect characteristic extraction task is modeled as named entity recognition, and the accuracy of phrase recognition is improved by introducing a defect characteristic recognition model of comment attributes.

Description

technical field [0001] The present invention belongs to the field of computer technology, relates to requirements engineering, natural language processing and other technologies, in particular to a comment analysis method and device based on semantic perception, Background technique [0002] Mobile application (App) development has been active for more than a decade, resulting in millions of available apps for a wide variety of tasks such as shopping, banking, and social interaction. These mobile applications are becoming more and more indispensable in the daily life of the present invention, and the importance of mobile applications drives the development team to make every effort to understand new user needs as well as bug reports, and to carry out quality assurance and software maintenance activities. [0003] Users typically write reviews for the mobile apps they use on platforms such as the Apple App Store and Google Play. These reviews are usually short texts, and the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35G06F40/295G06F40/30
CPCG06F16/3344G06F16/35G06F40/295G06F40/30
Inventor 王亚文王俊杰石琳王青
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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