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Case-related microblog comment irony sentence detection method for dynamically memorizing case description

A technology for microblog comments and detection methods, applied in network data retrieval, other database retrieval, digital data information retrieval, etc., can solve the problem of low performance of microblog comment sarcasm detection sentiment analysis, and improve the detection effect and memory. The effect of relevant background knowledge and good semantic representation

Active Publication Date: 2021-01-29
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for detecting satirical sentences in microblog comments involved in a case by dynamically memorizing case descriptions, which is used for detecting satirical sentences in emotional analysis of microblogs involved in a case, and solves the problem of low sentiment analysis performance due to inaccurate detection of satirical sentences in microblog comments involved in a case The problem

Method used

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  • Case-related microblog comment irony sentence detection method for dynamically memorizing case description
  • Case-related microblog comment irony sentence detection method for dynamically memorizing case description
  • Case-related microblog comment irony sentence detection method for dynamically memorizing case description

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Embodiment 1

[0050] Embodiment 1: as figure 1 As shown, the dynamic memory case describes the method for detecting satirical sentences in Weibo comments involved in the case, and the method includes:

[0051] Step1. Construct the Weibo satire data set involved in the case; the specific steps are as follows:

[0052]Step 1.1. Use a crawler based on the Scrapy framework to crawl relevant Weibo texts and comments of more than a dozen current hot cases from Sina Weibo;

[0053] Step1.2. Filter and screen the text and comments of the microblog involved in the case. The filtering and screening method is as follows: (1) Divide the microblog posts according to the forwarding relationship " / / " to ensure that the comments under the microblog are forwarded The analysis is based on the original Weibo, (2), delete the structure of "@+username+reply" in Weibo comments, and delete irrelevant hyperlink advertisements;

[0054] Step1.3. Use manual labeling to obtain the Weibo irony data set involved in t...

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Abstract

The invention relates to a case-related microblog comment irony sentence detection method for dynamically memorizing case description, and belongs to the technical field of natural language processing. The method comprises the following steps: constructing a case-related microblog irony data set; carrying out feature coding on the case-related microblog text and the case-related microblog commentsby utilizing word embedding and position embedding, and introducing an attention mechanism into the case-related microblog comments subjected to feature coding; obtaining text representation relatedto the case-related microblog comments through a dynamic memory mechanism; and splicing the obtained text representation and comment representation to obtain a new representation, training a model bytaking the representation as input, and performing case-related microblog comment irony sentence detection through the model. The case description information is used as background information to realize irony detection of the case-related comment sentences, irony sentences are detected from the obtained public opinion data, and support is provided for subsequent sentiment analysis.

Description

technical field [0001] The invention relates to a method for detecting satirical sentences in microblog comments involved in cases described in dynamic memory cases, and belongs to the technical field of natural language processing. Background technique [0002] With the rapid development of the Internet, people are paying more and more attention to the incidents involved, and they often express their views on the incidents involved on Weibo. In the field involved in the case, for some sensitive information, people often choose satirical terms to express their subjective emotions. Therefore, the detection of ironic sentences is an important task in the analysis of public opinion in the case-related field. [0003] The task of detecting satirical sentences on microblogs involved in the case has the following two characteristics: first, satirical sentences and sentences showing emotion are similar in expression, but have opposite meanings, and it is difficult to distinguish w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/951G06F16/9536G06F16/35G06F40/216G06F40/284G06F40/30
CPCG06F16/951G06F16/9536G06F16/355G06F40/216G06F40/284G06F40/30
Inventor 余正涛谭陈琛相艳郭军军黄于欣线岩团
Owner KUNMING UNIV OF SCI & TECH
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