Detection method of sarcastic sentences in microblog comments involved in dynamic memory case descriptions

A microblog comment and detection method technology, which is applied in network data retrieval, other database retrieval, digital data information retrieval, etc., can solve the problem of low performance of sentiment analysis of satirical sentence detection in microblog comments, and achieve improved detection effect and good performance. The effect of semantic representation

Active Publication Date: 2022-07-19
KUNMING UNIV OF SCI & TECH
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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

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  • Detection method of sarcastic sentences in microblog comments involved in dynamic memory case descriptions
  • Detection method of sarcastic sentences in microblog comments involved in dynamic memory case descriptions
  • Detection method of sarcastic sentences in microblog comments involved in dynamic memory case descriptions

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Embodiment 1

[0050] Example 1: as figure 1 As shown, the method for detecting sarcastic sentences in the involved Weibo comments described in the dynamic memory case includes:

[0051] Step 1. Construct the satirical data set of Weibo involved in the case; the specific steps are as follows:

[0052]Step1.1. Use the Scrapy framework-based crawler to crawl the relevant Weibo texts and comments of more than a dozen current hot cases from Sina Weibo;

[0053] Step1.2. Filter the text and comments of the involved Weibo. The methods of filtering and filtering are as follows: (1) Divide the Weibo posts according to the forwarding relationship " / / " to ensure that the comments below the Weibo 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 annotation to obtain the satirical data set of Weibo involved in the case; mark a Weibo comment as a unit...

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Abstract

The invention relates to a method for detecting sarcastic sentences of microblog comments involved in dynamic memory case descriptions, and belongs to the technical field of natural language processing. The invention includes the steps of: constructing a satirical data set of microblog involved in the case; using word embedding and position embedding to respectively carry out feature encoding on the text of the microblog involved and the comments on the microblog involved, and introducing an attention mechanism into the microblog comment involved after the feature encoding; Through the dynamic memory mechanism, the text representation related to the microblog comments involved in the case is obtained; the obtained text representation and the comment representation are spliced ​​to obtain a new representation, and the representation is used as an input to train the model, and the model is used to detect the sarcasm of the microblog comments involved in the case. The present invention realizes the irony detection of the comment sentences involved in the case by taking the case description information as the background information, and detects the irony sentences from the obtained public opinion data, which provides support for the subsequent sentiment analysis.

Description

technical field [0001] The invention relates to a method for detecting sarcastic sentences of microblog comments involved in dynamic memory case descriptions, 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 on Weibo. In the field involved, for some sensitive information, people often choose sarcasm to express their subjective emotions. Therefore, sarcasm detection is an important task of public opinion analysis in the field involved. [0003] The task of detecting sarcastic sentences on Weibo involved in the case has the following two characteristics: First, the expressions of sarcastic sentences and sentences showing emotion are similar, and their meanings are opposite, so it is difficult to distinguish without context; It is also related to other Weibo texts of...

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Application Information

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Patent Type & Authority Patents(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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