Mining method for APP software user comments reflecting user intentions

A technology of user comments and user intentions, applied in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2019-05-14
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to accurately and efficiently obtain constructive APP software user intentions and fully mine the valuable information in sof

Method used

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  • Mining method for APP software user comments reflecting user intentions
  • Mining method for APP software user comments reflecting user intentions
  • Mining method for APP software user comments reflecting user intentions

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0022] Example 1: Such as Figure 1-8 As shown, a method for mining user reviews of APP software that reflects user intentions. First, define the extraction rules of evaluation objects and evaluation opinions, and initialize the comment seeds on the basis of extracting the evaluation objects and evaluation opinions of user reviews. The same or similar user comments that reflect the same user’s intent category; then use willing verbs, software introduction and sentiment analysis to mine user comments that reflect user intent among user comments that fail to match the comment seed, and build a candidate comment pattern library ; Finally, extract representative new comment seeds from the candidate comment pattern library constructed during each cycle mining process, and use them for the next cycle mining to realize the cycle mining of user reviews reflecting user intent until the user who reflects user intent The mining effect of comments converges.

[0023] Further, the specific st...

Embodiment 2

[0046] Example 2: Such as Figure 1-8 As shown, a method for mining user reviews of APP software that reflects user intent, the specific steps are as follows:

[0047] Step1. Initialize the data: there is 1 (s=1) comment seed seed in the comment seed database, and there are 6 (c=6) user comments after word segmentation in the comment database, time=1, m=1; among them, user comments As shown in Table 1:

[0048] Table 1 APP software user comment form

[0049]

[0050] Initialize a comment seed seed in the comment seed bank 1 : Seed 1 = ; When the comment seed is initialized, the evaluation object and the evaluation opinion extraction rules are as follows: the evaluation object is the target entity that the opinion holder expresses emotion, usually composed of one or more words. Mainly for nouns, verbs, and their combination forms to establish evaluation object part-of-speech combination rules to extract evaluation objects. The extraction rules are shown in Table 2:

[0051] Table 2 Ev...

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Abstract

The invention relates to a mining method for APP software user comments reflecting user intentions, and belongs to the field of APP software user intention analysis. The method comprises the followingsteps: firstly, defining an evaluation object and an extraction rule of an evaluation viewpoint, initializing a comment seed on the basis of extracting the evaluation object and the evaluation viewpoint of a user comment, and mining the user comment which is the same as or similar to the comment seed and embodies the same user intention category by applying the comment seed; then, user comments reflecting user intentions in the user comments failed in matching with the comment seeds are mined through willingness verbs, software brief introduction and sentiment analysis, and a candidate comment mode library is constructed; and finally, extracting representative new comment seeds for the candidate comment mode library constructed in each cyclic mining process for the next cyclic mining to realize the cyclic mining of the user comments embodying the user intention until the mining effect of the user comments embodying the user intention is convergent.

Description

Technical field [0001] The invention relates to a method for mining APP software user comments embodying user intentions, and belongs to the field of APP software user intention analysis. Background technique [0002] With the widespread application of smart terminals, APP software has developed rapidly. APP software is characterized by short development cycle, fast update speed, and fierce competition for products of the same category. In the increasingly fierce market competition, user-driven software evolution has more practical significance. Online user reviews of APP software have become an important resource for software users to acquire by virtue of its advantages of covering a wide range of users, rich content, and strong timeliness. For example, in order to classify user reviews based on software maintenance and evolution categories, Grano et al. divided user intent into four categories: information giving, information search, feature request, and problem discovery; Gu...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F16/335
Inventor 姜瑛胡甜媛丁家满李凌宇汪海涛
Owner KUNMING UNIV OF SCI & TECH
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