Construction method of case microblog opinion sentence recognition based on feature expansion convolutional neural network

A convolutional neural network and construction method technology, applied in the field of case microblog opinion sentence recognition and construction, can solve the problems of insufficient recognition ability of a single model, low accuracy rate of case microblog opinion sentence recognition, etc., to improve efficiency and accuracy Effect

Active Publication Date: 2021-04-06
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0003] The present invention provides a construction method for identifying and constructing case microblog opinion sentences with a feature-expanded convolutional neural network, which is used to identify case microblog opinion sentences, and solves the problem of low recognition accuracy of case microblog opinion sentences and insufficient recognition ability of a single model. question

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  • Construction method of case microblog opinion sentence recognition based on feature expansion convolutional neural network
  • Construction method of case microblog opinion sentence recognition based on feature expansion convolutional neural network
  • Construction method of case microblog opinion sentence recognition based on feature expansion convolutional neural network

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Embodiment 1

[0054]Example 1: Such asFigure 1-2As shown, the characteristic expansion of the case microblog view syntain identification construction method, the specific steps of the method are as follows:

[0055]Step1, build case Weibo database;

[0056]STEP1.1, using a scrapy frame-based reptile, climbing related cases, microblogging, microblogging, and comments.

[0057]Step1.2, then filter the original microblogging in the case, so that the case microblog data set will be constructed, and finally obtain the database of Weibo;

[0058]The filtration screening is as follows:

[0059]Step1.2.1, divided by the microblogging " / / ", used to ensure that the review below Weibo is based on the original Weibo;

[0060]Step1.2.2, delete the structure of "@ + username + reply" in Weibo comments, and delete unrelated hyperlink advertisements;

[0061]Step1.2.3, for multiple punctuation symbols, using the first branch symbol, and remove the emotic symbol in Weibo comments;

[0062]Step1.2.4, filter screens for filtering data les...

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Abstract

The invention relates to a method for identifying and constructing case microblog opinion sentences using a feature-expanded convolutional neural network, and belongs to the field of natural language processing. The invention includes: constructing a case microblog database; marking comments in the case microblog database to form a training set and a test set of case microblog comments; extracting keywords from a plurality of original microblog texts of a case; The keywords extracted from the training set are used as feature expansion and case microblog comments are vectorized to obtain new vectors; the keywords are used as feature expansion and case microblog comments are vectorized to obtain new vectors as input for training Convolutional neural network, and then input the test set to the trained convolutional neural network to identify and classify opinion sentences. The present invention realizes the acquisition of key words from the original microblog text of the case as a feature extension, identifies the required opinion sentences from the obtained public opinion data, and provides support for the subsequent analysis of the emotional tendency of the opinion sentences.

Description

Technical field[0001]The present invention relates to a method of microblogging awareness of a characteristic expansion convolutional neural network, which is a natural language processing technology.Background technique[0002]The case Weibo refers to the Internet Weibo that is focused on the case-related hot events. Compared with the general news microblogging, the case microblog can trigger a case-related hot topic in a short period of time, leading to social public opinion. If the relevant information of this type of public opinion is dealt with in time, from the acquired public opinion data to identify the desired point of view, emotionally tend to analyze the viewpoint, and correctly guide the ulfing, it can effectively reduce the emotional incident. Negative impact.Inventive content[0003]The present invention provides a method of identifying a microblog view of a case microblogging in the convolutional neural network for identifying the microblog view of the case, solving the l...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/335G06F16/951G06N3/04G06N3/08G06F40/284G06F40/169
CPCG06F16/337G06F16/951G06N3/08G06N3/045
Inventor 余正涛王晓涵相艳郭军军黄于欣
Owner KUNMING UNIV OF SCI & TECH
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