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A Method for Clustering User Comments Based on Semi-Supervised Learning

A semi-supervised learning and user commenting technology, applied in the fields of text database clustering/classification, unstructured text data retrieval, instruments, etc., can solve problems such as time-consuming, and achieve the effect of reducing time cost

Active Publication Date: 2021-04-06
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Aiming at the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a user comment clustering method based on semi-supervised learning to solve the problem in the prior art that it takes a lot of time for developers to obtain effective information from user comments

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  • A Method for Clustering User Comments Based on Semi-Supervised Learning
  • A Method for Clustering User Comments Based on Semi-Supervised Learning
  • A Method for Clustering User Comments Based on Semi-Supervised Learning

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Embodiment Construction

[0033] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the embodiments and accompanying drawings, and the contents mentioned in the embodiments are not intended to limit the present invention.

[0034] refer to figure 1 Shown, a kind of user comment clustering method based on semi-supervised learning of the present invention, comprises steps as follows:

[0035] (1) Process the user comments into the form required for subsequent operations: restore the words in the user comments to the original form of the words, etc., to obtain the required form for subsequent operations;

[0036] (2) Convert the processed user comments into a vector space model and use principal component analysis to reduce the dimensionality: use the vector space model to represent the processed user comments, and use the principal component analysis to reduce the dimensionality of the vector space model;

[003...

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Abstract

The invention discloses a method for clustering user comments based on semi-supervised learning, which comprises the following steps: processing user comments into a form required for subsequent operations; converting the processed user comments into a vector space model and performing dimensionality reduction by principal component analysis ; Use N-gram to determine the K value of the number of clusters of user comments; construct must-connect constraints and non-connect constraints; use COP-Kmeans clustering algorithm to cluster user comments. The invention proposes a user comment clustering method based on semi-supervised learning, and combines the domain expertise of developers to improve the accuracy of user comment clustering and reduce the time required for developers to mine information from user comments.

Description

technical field [0001] The invention belongs to the field of computer technology, in particular to a method for clustering user comments based on semi-supervised learning. Background technique [0002] With the widespread use of smart devices, mobile applications (Mobile App) have a large number of user reviews and have now become an important part of the software ecosystem. These user reviews are generally distributed in major online application stores, such as Google Play and Apple App Store. User comments contain a lot of useful information, which is an important interface for developers to interact with users. Users can put forward some new function requirements and some problems encountered in the use process by posting user comments. This information plays a vital role in the maintenance and improvement of the software. [0003] In the following, the main relevant studies on clustering user reviews are summarized, all of which have been published in important interna...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06K9/62G06F40/30
Inventor 周宇苏彦颀史志成杨忻莹黄志球
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS