Unlock instant, AI-driven research and patent intelligence for your innovation.

An 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 problems such as non-conformity, inaccurate data analysis results, and complex architecture.

Active Publication Date: 2022-03-25
SICHUAN CHANGHONG ELECTRIC CO LTD
View PDF7 Cites 0 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An e-commerce public opinion analysis method and system based on mongodb and hanlp

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an e-commerce public opinion analysis method based on Mongodb and HanLP, comprising the following steps: A. Data collection, B. Maintaining corresponding target mention points for different commodity categories; C. Periodically from the original collection of Mongodb Obtain the data in, take the target mention point as a sample, and use HanLP to segment the comment data; D. Filter the word segmentation results, remove stop words to keep valid word segmentation, and match with the target mention point; E. Store the matching results Go to the Mongodb target collection, and record the data processing progress in the Mongodb original collection at the same time; F. Obtain data from the Mongodb target collection according to different query conditions for statistical analysis of data, and provide result display. The method of the present invention can intervene in advance on the text word segmentation results, obtain the required word segmentation results, and improve the accuracy of public opinion analysis.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/248G06F16/28G06F16/31G06F16/951G06F40/289G06Q30/02
CPCG06F16/2462G06F16/313G06F16/951G06F16/28G06F16/248G06Q30/0201
Inventor 王华杰
Owner SICHUAN CHANGHONG ELECTRIC CO LTD