Restaurant user comment analysis system and method based on sentiment analysis

A technology of user comments and sentiment analysis, applied in data processing applications, special data processing applications, text database clustering/classification, etc., can solve the problems of single analysis results and poor real-time performance, and achieve improved interaction, convenience and readability , multi-selection and real-time effects

Active Publication Date: 2019-08-16
HANGZHOU NORMAL UNIVERSITY
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Problems solved by technology

However, the system has poor real-time

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  • Restaurant user comment analysis system and method based on sentiment analysis
  • Restaurant user comment analysis system and method based on sentiment analysis
  • Restaurant user comment analysis system and method based on sentiment analysis

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Embodiment Construction

[0043] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.

[0044] Such as figure 1 As shown, it is a flow chart of the operation of the preferred embodiment of the restaurant user comment analysis system of the present invention.

[0045] Step S101, crawling data from different software. Among them, the software includes: Ele.me, Meituan and Dianping.

[0046] Step S102, preprocessing data from different data sources. The data includes: text data. The preprocessing includes: manually labeling data, data cleaning, and data filtering. Specifically, the manual labeling refers to manually labeling and classifying the attribute words in the restaurant user evaluation, and establishing the attribute word set and the comment attribute structure.

[0047] ...

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Abstract

The invention discloses a restaurant user comment analysis system and method based on emotion analysis, and the system comprises a user comment obtaining module which is used for carrying out data crawling on different platforms; a data preprocessing module which is used for preprocessing the data; a feature extraction module which is used for performing feature extraction on the preprocessed datato obtain a word feature vector and an aspect level vector; a pre-training language model module which is used for training a language model; an algorithm processing module which is used for inputting the word feature vectors and the aspect level vectors subjected to feature extraction into an algorithm model for calculation and analysis; a result display module which is used for displaying the calculation analysis result and the system operation condition; and an authority authentication module which enters different interfaces through different identity authentications. According to the method, the built-in user comment text data and the data from the software platform can be processed, a simpler and easier-to-understand result presentation interface is provided, and the understanding difficulty of users and merchants can be effectively reduced.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a system and method for analyzing restaurant user comments based on sentiment analysis. Background technique [0002] At present, the application scenarios of text classification mainly include: user comment classification, public opinion monitoring and information prediction. The classification of user comments is one of the most used scenarios. There are tens of thousands of reviews on different restaurants and services on platform websites such as life information service and catering industry. For restaurants, it is very costly to browse through the reviews. , build a model to learn the tendency of user reviews, and provide data reference for restaurants to clarify their own shortcomings and find their own advantages. [0003] The Chinese patent document with the publication number CN109284506A discloses a user comment sentiment analysis system and method based on...

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Application Information

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IPC IPC(8): G06F16/33G06F16/35G06F16/951G06F17/27G06Q30/02G06Q50/12
CPCG06F16/3335G06F16/35G06F16/951G06Q30/0282G06Q50/12G06F40/284G06F40/30
Inventor 袁丁章剑林
Owner HANGZHOU NORMAL UNIVERSITY
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