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Rumor recognition method

A method for identifying rumors and a technology for rumors, applied in the fields of the Internet and artificial intelligence, can solve problems such as inability to identify rumors, achieve the advantages of strong timeliness, reduce computational complexity, and improve the degree of adaptation.

Inactive Publication Date: 2018-10-02
ZHONGAN INFORMATION TECH SERVICES CO LTD
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a rumor identification method to solve the problem that the existing rumor identification methods cannot accurately identify rumors

Method used

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Experimental program
Comparison scheme
Effect test

Embodiment 2

[0067] refer to image 3 As shown, there are still some defects in judging the text to be tested through the rumor discrimination model alone. In this embodiment, a user classification and weighting system is introduced. "text to be tested" for rumor judgment and scoring.

[0068] Users in the user classification and weighting system include initial users and non-initial users.

[0069] (1) User classification initialization

[0070] New users can choose through a simple process whether they are willing to become volunteers and let them choose the fields they are interested in or good at. This part of the selection is used as the initial classification of the user, and the initial weight of the user is 0.

[0071] (2) Initialize user weight adjustment

[0072] Because there may be discrepancies between the user's self-assessment and objective facts, we need to evaluate the initialized user. Evaluation methods include questionnaire survey, inspection of existing rumors, and i...

Embodiment 3

[0083] The rumor recognition feedback model based on human-machine collaboration uses "user weighted judgment" as the standard, compares the scoring of the "rumour discrimination model", saves the wrong label data, and iterates it into the model.

[0084] In this embodiment, the user accesses the rumor discrimination model in two ways. One is to access the API interface and call the predict function shown in the "model effect test" code in the above rumor discrimination model (5). The content of the evaluation is input as a variable; the other is carried out through the test webpage, and the text to be tested is input into the webpage.

[0085] After collecting the rumor text to be tested input by the user, it can be a link or text data, and then call the prediction function in the rumor judgment model to get the judgment result, and record the pre-evaluation result and text content in the database.

[0086] When the text is classified into several categories to which the user...

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Abstract

The present invention discloses a rumor recognition method. The method comprises: grabbing marked text content, cleaning and sorting the text, dividing the text into sentences, and storing the text content in sentences into a database; according to the Chinese word segmentation vocabulary, performing word segmentation on the text content which is segmented into sentences, sorting the word segmented content into a model readable and standardized form, and taking the model readable and standardized form as the input content of the model; performing high latitude vectorization association mappingon the word segmented content through the model, performing the weighted combination on word vectors to obtain a sentence vector, a paragraph vector or an article vector, and outputting the vectors from the model; inputting the processed training corpus information to a classifier model for training, and outputting a determination result; and constructing a to-be-detected text function, and performing an effect test on a rumor determination model. According to the method disclosed by the present invention, while reducing the labor cost, the reliability of rumor determination is improved.

Description

technical field [0001] The invention belongs to the field of Internet and artificial intelligence, and in particular relates to a rumor identification method. Background technique [0002] In today's era of Internet information explosion, it is very easy for people to obtain all kinds of information, but when faced with massive information, people often lack the ability to distinguish things themselves, and will be caught by some professional, disseminated, and fabricated information. People are confused by speech, so as to make wrong judgments, which are even unfavorable to social development. This kind of speech is a well-known rumor. Rumors can be roughly divided into six categories based on the field of content: food safety, medical health, science and technology, legends and anecdotes, pet flowers, and natural environment. Rumors can harm individuals, groups, and even society, making people's simple and stable interpersonal relationships complicated and tense, and maki...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/216G06F40/289
Inventor 陈鸿睿肖日新马斌纪其进
Owner ZHONGAN INFORMATION TECH SERVICES CO LTD
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