Internet user comment analysis method and system based on big data text analysis

A text analysis and user commenting technology, applied in the field of data analysis, can solve the problems of insufficient rigor of analysis results, insufficient number of analysis samples, and inaccurate analysis conclusions, and achieve improved operating methods, strong reference, and accurate analysis results. Effect

Pending Publication Date: 2021-04-13
国家电网有限公司客户服务中心
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. The number of analyzed samples is seriously insufficient, resulting in inaccurate analysis conclusions
[0004] 2. The source of the analysis sample itself has certain lim

Method used

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  • Internet user comment analysis method and system based on big data text analysis
  • Internet user comment analysis method and system based on big data text analysis

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Embodiment

[0057] Such as figure 1 As shown, in the first aspect, the embodiment of the present invention provides a method for analyzing Internet user comments based on big data text analysis, comprising the following steps:

[0058] S1. Obtain and send user evaluation information;

[0059] S2. Perform data cleaning processing on user evaluation information to obtain and send target pure text information;

[0060] S3. Extract the user's emotional data in the target pure text information, classify the user's emotional data according to established rules, generate and send a classification report;

[0061] S4. Use the Chinese word segmentation framework to perform word segmentation operations on the text information in the classification report to obtain and send word segmentation text data;

[0062] S5. Carry out a word vectorization operation on the word segmentation text data, remove interference information, and obtain vectorized words;

[0063] S6. Use the naive Bayesian algorithm...

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Abstract

The invention discloses an internet user comment analysis method based on big data text analysis. The method comprises the following steps: obtaining and sending user evaluation information; performing data cleaning processing on the user evaluation information to obtain and send target pure text information; extracting user emotion data in the target pure text information, classifying the user emotion data according to a set rule, and generating and sending a classification report; performing word segmentation operation on the text information in the classification report by using a Chinese word segmentation framework to obtain and send word segmentation text data; performing word vectorization operation on the word segmentation text data, and removing interference information to obtain vectorized words; and performing operation on the vectorized words by utilizing a naive Bayes algorithm, and outputting and displaying an operation result. The invention further discloses an internet user comment analysis system based on big data text analysis. According to the invention, the user comment analysis efficiency and accuracy can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of data analysis, in particular to a method and system for analyzing Internet user comments based on big data text analysis. Background technique [0002] For App operating units, user experience is very important. However, Internet operating units have limited ways to obtain users’ opinions and suggestions on products. "The acquisition of functional modules, and the analysis of user comments is only limited to the implementation of spreadsheets combined with manual combing. This method has the following defects: [0003] 1. The number of analyzed samples is seriously insufficient, resulting in inaccurate analysis conclusions. [0004] 2. The source of the analysis sample itself has certain limitations, and the output results can only focus on one aspect. [0005] Third, the efficiency is low, and the rigor of the analysis results is insufficient. [0006] Fourth, it takes up a lot of human resour...

Claims

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Application Information

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IPC IPC(8): G06F16/951G06F16/215G06F40/216G06F40/289G06K9/62
CPCG06F16/951G06F16/215G06F40/216G06F40/289G06F18/24
Inventor 张才俊江帆邢巍张波郭园园王佳佳张晓慧吴涛周云于盟赵舰
Owner 国家电网有限公司客户服务中心
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