Case microblog viewpoint sentence recognition construction method of feature extension convolutional neural network

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

Active Publication Date: 2020-04-14
KUNMING UNIV OF SCI & TECH
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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

Method used

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  • Case microblog viewpoint sentence recognition construction method of feature extension convolutional neural network
  • Case microblog viewpoint sentence recognition construction method of feature extension convolutional neural network
  • Case microblog viewpoint sentence recognition construction method of feature extension convolutional neural network

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Embodiment 1

[0054] Embodiment 1: as Figure 1-2 As shown, the feature expansion convolutional neural network case microblog opinion sentence recognition construction method, the specific steps of the method are as follows:

[0055] Step1. Construct case microblog database;

[0056] Step1.1. Use the crawler based on the Scrapy framework to crawl the original Weibo text and comments of relevant cases from Sina Weibo;

[0057] Step1.2, then filter and screen the original text and comments of the case microblog, thereby constructing the case microblog data set, and finally obtain the case microblog database;

[0058] Filtering is done as follows:

[0059] Step1.2.1. Divide Weibo blog posts according to the forwarding relationship " / / ", which is used to ensure that the comments below the forwarded Weibo are analyzed based on the original Weibo;

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

[0061] Step1.2....

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Abstract

The invention relates to a case microblog viewpoint sentence recognition construction method of a feature extension convolutional neural network, and belongs to the field of natural language processing. The method comprises the following steps: constructing a case microblog database; annotating comments in the case microblog database to form the training set and the test set of the case microblogcomments; carrying out keyword extraction on a plurality of microblog original texts of the case; taking keywords extracted from the case original text as feature extension and training set case microblog comments, vectorizing the feature extension and training set case microblog comments, and splicing the feature extension and training set case microblog comments to obtain a new vector; splicingthe keywords as feature extension and case microblog comments after vectorization to obtain a new vector as input to train a convolutional neural network, and inputting the test set into the trained convolutional neural network to identify and classify viewpoint sentences. According to the method, the keywords are obtained from the case microblog original text to serve as feature extension, the needed viewpoint sentences are recognized from the obtained public opinion data, and support is provided for subsequent sentiment tendency analysis on the viewpoint sentences.

Description

technical field [0001] 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 technical field of natural language processing. Background technique [0002] Case microblogs refer to Internet microblogs that focus on hot events related to cases. Compared with general news microblogs, case microblogs can trigger hot topics related to the case in a short period of time, leading to the outbreak of public opinion. If the relevant information of this type of public opinion event can be processed in a timely manner, the required opinion sentences can be identified from the obtained public opinion data, the sentiment tendency of the opinion sentences can be analyzed, and the public opinion can be guided correctly, which can effectively reduce the impact caused by the public opinion event. Negative impact. Contents of the invention [0003] The present invention p...

Claims

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Application Information

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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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