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E-commerce public opinion analysis method and system based on Mongodb and HanLP

A public opinion analysis and e-commerce technology, applied in the field of public opinion analysis, can solve the problems of inaccurate text segmentation results, inaccurate data analysis results, and complex architecture.

Active Publication Date: 2019-12-31
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies in the above-mentioned background technology, provide a kind of e-commerce public opinion analysis method and system based on Mongodb and HanLP. There is a problem of inaccurate data analysis results, and it is possible to intervene in advance on the text word segmentation results to obtain the required word segmentation results and improve the accuracy of public opinion analysis

Method used

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  • E-commerce public opinion analysis method and system based on Mongodb and HanLP

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Experimental program
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Embodiment 1

[0034] Such as figure 1 As shown, an e-commerce public opinion analysis method based on Mongodb and HanLP mainly includes the following steps:

[0035]Step 1. Data collection, crawling user comment data from several e-commerce channels regularly through the crawler program and storing it in the original collection of Mongodb, wherein, in the original collection of Mongodb, each user comment is a Bson document.

[0036] Specifically, in this embodiment, the user comment data is for a specific commodity category, such as comments on TV, comments on refrigerators, comments on air conditioners, and so on. In this technical solution, user comments need to be regularly collected from major e-commerce websites every day, including:

[0037] Obtain user reviews and follow-up reviews from the JD platform; obtain user reviews and follow-up reviews from the Suning.com platform; obtain user reviews and follow-up reviews from the Tmall platform; obtain user reviews and follow-up reviews f...

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Abstract

The invention discloses an e-commerce public opinion analysis method based on Mongodb and HanLP. The e-commerce public opinion analysis method comprises the following steps: A, performing data collection, B, performing maintenance of corresponding target mention points for different commodity types; C, periodically acquiring data from the Mongodb original set, and performing word segmentation on the comment data by using HanLP by taking the target mention point as a sample; D, filtering a word segmentation result, removing stop words, reserving effective segmented words, and matching the effective segmented words with the target mention point; E, storing the matching result in a Mongodb target set, and meanwhile recording the data processing progress in the Mongodb original set; and F, acquiring data from the Mongodb target set according to different query conditions to perform data statistical analysis, and providing result display. According to the e-commerce public opinion analysismethod, the text word segmentation result can be intervened in advance, and the required word segmentation result is obtained, and the accuracy of public opinion analysis is improved.

Description

technical field [0001] The invention relates to the technical field of public opinion analysis, in particular to an e-commerce public opinion analysis method and system based on Mongodb and HanLP. Background technique [0002] With the development of the economy and the continuous improvement of people's living standards, people's online shopping has gradually become the norm. The comments left by users after online shopping have become an important reference for latecomers to shop; at the same time, for e-commerce channels and manufacturers, user reviews are also an important basis for improving services and products, and have special significance. [0003] At present, most public opinion analysis systems use relational databases as data storage platforms. When faced with massive data storage requirements, such systems obviously do not meet the actual application scenarios and cannot achieve the expected results. The common process of some public opinion analysis systems i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/248G06F16/28G06F16/31G06F16/951G06F17/27G06Q30/02
CPCG06F16/2462G06F16/313G06F16/951G06F16/28G06F16/248G06Q30/0201
Inventor 王华杰
Owner SICHUAN CHANGHONG ELECTRIC CO LTD