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A mobile application comment analysis and mining method based on metroeconomics

A technology of econometrics and mobile applications, applied in the field of econometrics-based analysis and mining of mobile application reviews, can solve problems such as inability to effectively mine mobile application reviews, and achieve the effect of improving user satisfaction

Active Publication Date: 2019-04-23
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiency that existing methods cannot effectively mine mobile application comments, the present invention provides an econometrics-based mobile application comment analysis and mining method

Method used

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  • A mobile application comment analysis and mining method based on metroeconomics
  • A mobile application comment analysis and mining method based on metroeconomics
  • A mobile application comment analysis and mining method based on metroeconomics

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Embodiment Construction

[0025] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings.

[0026] S1. Organize and integrate the data downloaded from the Internet and write it into the database; take the video mobile application "Youku" as an example. Write a web crawler program, grab user comments, release time of each version, and download information from the mobile application store, organize and integrate them and write them into the database.

[0027] S2. Data initial processing: process the data into a format that meets the conditions;

[0028] S21: Filter the original comments according to the length of the text comments, and reduce the noise introduced by meaningless content: use the word segmentation tool to segment the text comments and filter the stop words. Filter the original user comments according to the length of the text comments, and set the threshold length to 5 to reduce the noise introduced by meaningless com...

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Abstract

The invention provides a mobile application comment analysis and mining method based on metroeconomics, relates to fusion and analysis and mining of data generated by different types of users, and particularly relates to the establishment of a metroeconomics model based on mass comments uploaded by the users in a mobile application market so as to generate user feedback with guiding significance.The method not only can deeply analyze the actual needs of the user through feature extraction, but also can describe the influences of different factors on the downloading amount of the mobile application by utilizing the metrological model, and can meet different user needs at the same time.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to an econometrics-based mobile application comment analysis and mining method. Background technique [0002] In recent years, with the rapid development of the mobile Internet, smartphones are becoming a portal for communication and integration of the "human-machine-thing" ternary world. At the same time, the number of mobile applications has also grown rapidly, integrating into various fields of basic necessities of life. For mobile application developers, the number of products of the same type is increasing, and the competition is becoming increasingly fierce. The key to meeting this challenge is to launch products that are closer to users' concerns and needs. Faced with the increasing user comments, an efficient analysis and mining method is very much needed to process massive information, so as to provide guidance for mobile application developers. Patent CN106227720A ...

Claims

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Application Information

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IPC IPC(8): G06F16/2458
CPCG06F2216/03Y02D10/00
Inventor 郭斌郭彤於志文王柱王亮周兴社
Owner NORTHWESTERN POLYTECHNICAL UNIV
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