Detection of traits in students with suicidal tendencies on Internet applying Web Mining

This article presents an Internet data analysis model based on Web Mining with the aim to find knowledge about large amounts of data in cyberspace. To test the proposed method, suicide web pages were analyzed as a study case to identify and detect traits in students with suicidal tendencies. The pro...

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Bibliographic Details
Published in:	Comunicar Vol. 30; no. 71; pp. 101 - 112
Main Authors:	Castillo-Zúñiga, Iván, Luna-Rosas, Francisco-Javier, López-Veyna, Jaime-Iván
Format:	Journal Article
Language:	English
Published:	Huelva Grupo Comunicar 2022 Grupo Comunicar Ediciones
Edition:	English ed.
Subjects:	Accuracy Adolescents Algorithms Artificial Intelligence At Risk Students Big Data Bullying Computer Mediated Communication Data Analysis Data mining Datasets Deep learning Dynamic semantics Genetics Information Retrieval Internet Machine learning Mining Mining industry Natural language processing Neural networks Ontology Prediction Prevention Prevention programs Psychological Patterns Recurrent Semantic web Semantics Student Characteristics Students Suicide Suicides & suicide attempts Teenagers Variables Web Sites Youth
ISSN:	1134-3478
Online Access:	Get full text
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