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Merchant comment analysis system and method based on machine learning

A machine learning and analysis system technology, applied in the field of machine learning-based business review analysis system, can solve problems such as low accuracy rate and long time-consuming algorithm, and achieve the effect of short time-consuming, simple implementation, and improved products and services

Pending Publication Date: 2022-01-28
JIANGSU UNIV OF SCI & TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a machine learning-based business review analysis system and method to solve the problems of long time-consuming and low accuracy of existing algorithms

Method used

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  • Merchant comment analysis system and method based on machine learning
  • Merchant comment analysis system and method based on machine learning
  • Merchant comment analysis system and method based on machine learning

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Embodiment Construction

[0061] The technical solutions in the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0062] Combine figure 1 The system contains the following three layers:

[0063] First, data processing layer

[0064] The data processing layer includes the following modules, and finally outputs the original data set:

[0065] The data acquisition module is used to crawl the user comments of different platforms, and the original data is classified and stored;

[0066] Data processing module, for data pretreatment, text word, text quantification, etc., allows data to be used in algorithm processing and system database, and the generation of word cloud.

[0067] The data acquisition module is based on Python crawler. It takes different climbs to different platforms, and climbs the data by changing the page attribute value. Get the data process to classify the data and the specifications store, and bind the merchant ID, the co...

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Abstract

The invention discloses a merchant comment analysis system based on machine learning. The merchant comment analysis system comprises a data processing layer, a machine learning algorithm layer and a user service layer, wherein the data processing layer is used for acquiring platform data, performing preprocessing, text word segmentation and word cloud generation on the platform data, and outputting an evaluation data set; the machine learning algorithm layer is used for performing model training, sentiment analysis and clustering analysis by using a comment data set, and outputting the positive sentiment degree and merchant classification labels of the comment data; and the user service layer provides merchant recommendation, search, classification, merchant data analysis and comment data analysis information for users. According to the invention, a machine learning algorithm is adopted to analyze the comment data of users, quantify the sentiment data of the users and mine the emotion and attitude of the users in the comments, so merchant evaluation can be refined, the shortages of platform scoring are made up, a multi-dimensional scoring model is constructed, and a more accurate merchant evaluation system is realized.

Description

Technical field [0001] The present invention relates to machine learning, in the field of natural language processing, in particular, involving a machine-learning-based merchant comment analysis system and method. Background technique [0002] With the expansion of online consumption, takeaway, life service booking platform has also raised, and the Internet consumption platform has become an important information interaction and data carrier. Refer to online commentary is an important part of people's purchase decisions. The massive user review information in the platform contains people's experience in the price, quality, etc., through the emotional analysis of the comment data, can bring more reference value to the user, and can make the merchant to understand the problem and carry out Improve. [0003] Machine learning is an implementation of artificial intelligence, so that the system can learn from data, and constantly identify emotional features through training sets, model...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/284G06K9/62G06N20/00G06Q30/02
CPCG06F40/284G06F16/35G06N20/00G06Q30/0282G06F18/23213G06F18/214
Inventor 刘玮束鑫叶华
Owner JIANGSU UNIV OF SCI & TECH
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