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False message detection method based on information retrieval and data mining weighting technology

A false news and information retrieval technology, applied in the field of machine learning, can solve problems such as misjudgment, negative impact on readers, and low quality, and achieve the effect of improving accuracy

Pending Publication Date: 2022-02-15
XIAN THERMAL POWER RES INST CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this kind of judgment is uncertain and the accuracy rate is not high, and it is prone to misjudgment, which will have a negative impact on readers

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  • False message detection method based on information retrieval and data mining weighting technology

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Embodiment Construction

[0023] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0024] The embodiment of the present invention discloses a false news detection method based on information retrieval and data mining weighting technology, wherein the method includes: preparing a data set containing real and false news, using a computer to analyze the data algorithm; Simple operation, the computer performs a series of operations in the S200-S700 in an automatic operation mode; the final output is a classifier for false news detection.

[0025] Such as figure 1 As shown, the false news detection method based on information retrieval and data mining weighting technology provided by the present invention, the method comprises:

[0026] S100: Prepare a data set to be tested, which includes real news and fake news, for training and evaluation.

[0027] S200: Preprocessing the data, using a morphological restoration method, is to restore a langu...

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Abstract

The invention discloses a false message detection method based on an information retrieval and data mining weighting technology, and the method comprises the steps of enabling a to-be-detected data set to comprise real messages and false messages, and carrying out the training and evaluation; using the word form restoration method for preprocessing data to obtain a trunk part of a word; establishing a word list for connecting the title and the text into a character string to obtain a result vector; deleting punctuation marks, and eliminating irrelevant variables; and applying stop words to improve the quality of the text features and reduce the dimensionality of the text features. A language model is used for evaluating the importance degree of each word on the judgment of the false messages; and a logistic regression classifier is used for training and classifying the data and detecting the authenticity of the messages. According to the method, the information is automatically detected by using an information retrieval and data mining weighting technology, so that the accuracy of false message detection is improved.

Description

technical field [0001] The invention belongs to the technical field of machine learning, and in particular relates to a false news detection method based on information retrieval and data mining weighting technology. Background technique [0002] With the popularity of the Internet, the prosperity of digital information technology has created new outlets for content creators, and at the same time, false news is also mixed in. This is a new form of propaganda that is intentionally designed to mislead readers and serve a certain purpose of disinformation spreaders. At present, most readers use their own judgment to examine the correctness of the news. However, this kind of judgment is uncertain and the accuracy rate is not high, and it is prone to misjudgment, which will have a negative impact on readers. Contents of the invention [0003] In order to overcome the above technical problems, the present invention provides a false news detection method based on information re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/335G06F16/34G06F16/35G06F16/36G06F40/216G06K9/62G06N20/00
CPCG06F16/3344G06F16/335G06F16/34G06F16/374G06F40/216G06F16/35G06N20/00G06F18/241G06F18/214
Inventor 刘骁杨东崔逸群王文庆闫永强朱博迪毕玉冰刘超飞邓楠轶董夏昕介银娟刘迪肖力炀崔鑫王艺杰朱召鹏
Owner XIAN THERMAL POWER RES INST CO LTD