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A method and system for screening and judging features of e-commerce online comment training set

A training set, e-commerce technology, applied in electrical digital data processing, special data processing applications, instruments, etc.

Active Publication Date: 2021-02-23
ANHUI BUSINESS COLLEGE
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Problems solved by technology

[0003] However, in the existing research, there is no morphological method to display the keyword characteristics of the text training set through graphics, and there is a lack of in-depth analysis and exploration of keyword feature values

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  • A method and system for screening and judging features of e-commerce online comment training set

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0042] As an embodiment, the present invention provides a method for screening and judging features of an e-commerce online comment training set, including:

[0043] Obtain the online reviews of e-commerce, and obtain the training set of online reviews of e-commerce;

[0044] Carry out word segmentation and statistics to the online comments of the electric business in the training set, obtain the alternative words of the online comments of the electrical suppliers and the word frequency and part of speech of the alternative words;

[0045] According to the word frequency and the part of speech of described alternative words and alternative words, obtain electric business online comment keyword and keyword dictionary;

[...

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Abstract

The invention discloses a method and system for screening and judging features of an e-commerce online comment training set, and relates to the fields of natural language processing technology and emotion judgment, including obtaining the training set of e-commerce online comments; performing word segmentation and statistics to obtain e-commerce online comments According to the alternative words and their frequency and part of speech, obtain the keywords and keyword dictionary of e-commerce online reviews; build a sentence-keyword binary network for e-commerce online reviews ; calculate the emotional weight; according to the emotional weight, establish a keyword weight table; according to the keyword weight table, obtain the emotional characteristic keywords in the training set; Business enterprises and researchers can quickly understand the characteristics of keywords in the training set, better grasp the emotional characteristics, and accurately make sentiment analysis judgments, providing guarantee for the follow-up sentiment analysis of e-commerce online comment texts.

Description

technical field [0001] The invention relates to the field of natural language processing technology and emotion judgment, in particular to a method and system for screening and judging features of an e-commerce online comment training set. Background technique [0002] In the text sentiment analysis of e-commerce online comments, the training set is often used to train the classifier in order to obtain the keyword features of the text sentiment analysis. In previous studies, the bag-of-words model and the sentence-keyword matrix are the main research forms, which are displayed in the form of text or tables, which help researchers to select keywords in the training set to a certain extent. [0003] However, in the existing research, there is no morphological method to display the keyword features of the text training set through graphics, and there is a lack of in-depth analysis and exploration of keyword feature values. Therefore, based on the complex network method, the pr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F16/36G06F40/289G06F40/216G06F40/242
Inventor 刘玉林
Owner ANHUI BUSINESS COLLEGE
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