Method for recognizing network suicide note

Abstract

The invention provides a method for automatically recognizing a suicide note appearing on the Internet, belonging to the technical fields of Chinese text information processing and applied psychology, and realizes the technical effect of in the automatic discovery of network suicide notes. The method adopts a recognition method in which core words are bound to feature sentences and is divided into two stages, i.e. feature extraction and feature recognition. The core words are extracted; the suicidal tendency value of a text to be detected is calculated according to factors, such as the maximum value of the similar degree between sentences where the core words are located and feature sentences of the core words, and the like; and then, whether the text to be detected is the suicide note or not is judged. With the adoption of the method, the network suicide notes can be automatically recognized, individuals suffering from psychological crisis can be early warned, and a basis for intervention and treatment implemented by a psychological counseling and guidance department and the like, is provided. The method has the advantages of simplicity and easiness in implementation, avoidance of negative effect arising from segmentation defects, strong compatibility with newly-added samples, high rate of accuracy in recognition and low omission factor.

Description

technical field [0001] The invention belongs to the technical field of Chinese text information processing and applied psychology, and in particular relates to a method for identifying suicide notes on the Internet. Background technique [0002] Suicide has become the leading cause of death among people aged 15-34 in our country. According to research statistics, 28.1% of suicide cases left a will or suicide note. In recent years, some netizens have posted their last words on the Internet before committing suicide. Thanks to the timely intervention of enthusiastic netizens and the police, the tragedy was eventually avoided. [0003] It can be seen that the development of a method for automatically identifying suicide notes on the Internet is undoubtedly of great practical significance for saving lives with suicidal ideas in time. [0004] Although the research on the suicide note has been very sufficient, these studies mainly focus on the factors that lead to suicide throu...

AI Technical Summary

Problems solved by technology

The automatic classification of suicide notes in Chinese cannot be simply transplanted to the automatic classification method for suicide notes in Latin

This is because: First, unlike English words that are naturally separated by spaces, in a Chinese clause, words are closely arranged, and keywords must be automatically extracted without causing ambiguity , even though there are more mature Chinese word segmentation components, there are still some difficulties; second, the expression method in Chinese is relatively implicit, and words such as "suicide" and "killed myself" are often not as straightforward as English in the suicide note. However, words or phrases such as "death" and "leave this world" are often used; thirdly, if only high-frequency words such as "death" and "world" are used as the identification basis, then "the Sorted into the death group" this sports news may also be misjudged as suicide note

[0006] The shortcoming of the existing technology is that it does not draw on human reading rules more deeply in the process of automatic machine recognition

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