News article classification of Mexican newspapers

Consuelo Varinia García-Mendoza; Omar Gambino Juárez

doi:10.1007/978-3-030-03763-5_9

News article classification of Mexican newspapers

Consuelo Varinia García-Mendoza, Omar Gambino Juárez

Escuela Superior de Cómputo (ESCOM)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Articles in newspapers are divided in sections like culture, politics and sports to help readers to find information easily. Newspapers editors read the articles and decide the ones to be published and the sections they belong to. This paper presents supervised machine learning methods to automatically classify news articles in newspaper sections. To perform this task 4,027 news articles were collected along with its corresponding sections from three Mexican newspapers during a six month period. Different features were extracted and several machine learning methods were tested. Obtained results show an accuracy over 80% classifying articles in the particular sections of the three selected newspapers.

Original language	English
Title of host publication	Telematics and Computing - 7th International Congress, WITCOM 2018, Proceedings
Editors	Miguel Felix Mata-Rivera, Roberto Zagal-Flores
Publisher	Springer Verlag
Pages	101-109
Number of pages	9
ISBN (Print)	9783030037628
DOIs	https://doi.org/10.1007/978-3-030-03763-5_9
State	Published - 2018
Event	7th International Congress of Telematics and Computing, WITCOM 2018 - Mazatlán, Mexico Duration: 5 Nov 2018 → 9 Nov 2018

Publication series

Name	Communications in Computer and Information Science
Volume	944
ISSN (Print)	1865-0929

Conference

Conference	7th International Congress of Telematics and Computing, WITCOM 2018
Country/Territory	Mexico
City	Mazatlán
Period	5/11/18 → 9/11/18

Keywords

Information retrieval
Machine learning
Text classification

Access to Document

10.1007/978-3-030-03763-5_9

Cite this

García-Mendoza, C. V., & Gambino Juárez, O. (2018). News article classification of Mexican newspapers. In M. F. Mata-Rivera, & R. Zagal-Flores (Eds.), Telematics and Computing - 7th International Congress, WITCOM 2018, Proceedings (pp. 101-109). (Communications in Computer and Information Science; Vol. 944). Springer Verlag. https://doi.org/10.1007/978-3-030-03763-5_9

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title = "News article classification of Mexican newspapers",

abstract = "Articles in newspapers are divided in sections like culture, politics and sports to help readers to find information easily. Newspapers editors read the articles and decide the ones to be published and the sections they belong to. This paper presents supervised machine learning methods to automatically classify news articles in newspaper sections. To perform this task 4,027 news articles were collected along with its corresponding sections from three Mexican newspapers during a six month period. Different features were extracted and several machine learning methods were tested. Obtained results show an accuracy over 80% classifying articles in the particular sections of the three selected newspapers.",

keywords = "Information retrieval, Machine learning, Text classification",

author = "Garc{\'i}a-Mendoza, {Consuelo Varinia} and {Gambino Ju{\'a}rez}, Omar",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 7th International Congress of Telematics and Computing, WITCOM 2018 ; Conference date: 05-11-2018 Through 09-11-2018",

year = "2018",

doi = "10.1007/978-3-030-03763-5_9",

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series = "Communications in Computer and Information Science",

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booktitle = "Telematics and Computing - 7th International Congress, WITCOM 2018, Proceedings",

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García-Mendoza, CV & Gambino Juárez, O 2018, News article classification of Mexican newspapers. in MF Mata-Rivera & R Zagal-Flores (eds), Telematics and Computing - 7th International Congress, WITCOM 2018, Proceedings. Communications in Computer and Information Science, vol. 944, Springer Verlag, pp. 101-109, 7th International Congress of Telematics and Computing, WITCOM 2018, Mazatlán, Mexico, 5/11/18. https://doi.org/10.1007/978-3-030-03763-5_9

News article classification of Mexican newspapers. / García-Mendoza, Consuelo Varinia ; Gambino Juárez, Omar.
Telematics and Computing - 7th International Congress, WITCOM 2018, Proceedings. ed. / Miguel Felix Mata-Rivera; Roberto Zagal-Flores. Springer Verlag, 2018. p. 101-109 (Communications in Computer and Information Science; Vol. 944).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - News article classification of Mexican newspapers

AU - García-Mendoza, Consuelo Varinia

AU - Gambino Juárez, Omar

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - Articles in newspapers are divided in sections like culture, politics and sports to help readers to find information easily. Newspapers editors read the articles and decide the ones to be published and the sections they belong to. This paper presents supervised machine learning methods to automatically classify news articles in newspaper sections. To perform this task 4,027 news articles were collected along with its corresponding sections from three Mexican newspapers during a six month period. Different features were extracted and several machine learning methods were tested. Obtained results show an accuracy over 80% classifying articles in the particular sections of the three selected newspapers.

AB - Articles in newspapers are divided in sections like culture, politics and sports to help readers to find information easily. Newspapers editors read the articles and decide the ones to be published and the sections they belong to. This paper presents supervised machine learning methods to automatically classify news articles in newspaper sections. To perform this task 4,027 news articles were collected along with its corresponding sections from three Mexican newspapers during a six month period. Different features were extracted and several machine learning methods were tested. Obtained results show an accuracy over 80% classifying articles in the particular sections of the three selected newspapers.

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Y2 - 5 November 2018 through 9 November 2018

ER -

News article classification of Mexican newspapers

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