LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador

Jorge O. Ordoñez-Ordoñez; Luis F. Guerrero-Vásquez; Paul A. Chasi-Pesántez; David P. Barros-Piedra; Edwin J. Coronel-González; Katherine C. Bustamante-Cacao

doi:10.1007/978-981-16-1781-2_33

LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador

Jorge O. Ordoñez-Ordoñez, Luis F. Guerrero-Vásquez, Paul A. Chasi-Pesántez, David P. Barros-Piedra, Edwin J. Coronel-González, Katherine C. Bustamante-Cacao

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Resumen

In the last years, the environment in which we develop has had various changes, most of them due to major technological changes, and the constant development of Information and Communication Technologies (ICTs). As a result of the advances in ICTs, today it is common to interact through social networks and make constant use of them. For this reason, this paper presents an analysis of the 10 most influential Twitter accounts in Ecuador; the objective of this analysis is to detect what the topics or topics addressed in these accounts are. The Latent Dirichlet Allocation (LDA) algorithm using bag of words (BoW) model and also the Term Frequency–Inverse Document Frequency (TF-IDF) model were used for the analysis, finally finding, if the topics provided by both models are similar.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021
Editores	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	359-367
Número de páginas	9
ISBN (versión impresa)	9789811617805
DOI	https://doi.org/10.1007/978-981-16-1781-2_33
Estado	Publicada - 2022
Evento	6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online Duración: 25 feb. 2021 → 26 feb. 2021

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	216
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	6th International Congress on Information and Communication Technology, ICICT 2021
Ciudad	Virtual, Online
Período	25/02/21 → 26/02/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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10.1007/978-981-16-1781-2_33

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Ordoñez-Ordoñez, J. O., Guerrero-Vásquez, L. F., Chasi-Pesántez, P. A., Barros-Piedra, D. P., Coronel-González, E. J., & Bustamante-Cacao, K. C. (2022). LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador. En X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021 (pp. 359-367). (Lecture Notes in Networks and Systems; Vol. 216). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-1781-2_33

Ordoñez-Ordoñez, Jorge O. ; Guerrero-Vásquez, Luis F. ; Chasi-Pesántez, Paul A. et al. / LDA Algorithm for the Identification of Topics : A Case of Study in the Most Influential Twitter Accounts in Ecuador. Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 359-367 (Lecture Notes in Networks and Systems).

@inproceedings{96f1616fac3545ffb4ccf97da26f4d9e,

title = "LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador",

abstract = "In the last years, the environment in which we develop has had various changes, most of them due to major technological changes, and the constant development of Information and Communication Technologies (ICTs). As a result of the advances in ICTs, today it is common to interact through social networks and make constant use of them. For this reason, this paper presents an analysis of the 10 most influential Twitter accounts in Ecuador; the objective of this analysis is to detect what the topics or topics addressed in these accounts are. The Latent Dirichlet Allocation (LDA) algorithm using bag of words (BoW) model and also the Term Frequency–Inverse Document Frequency (TF-IDF) model were used for the analysis, finally finding, if the topics provided by both models are similar.",

keywords = "Data mining, ICTs, LDA, Machine learning, Social networks",

author = "Ordo{\~n}ez-Ordo{\~n}ez, {Jorge O.} and Guerrero-V{\'a}squez, {Luis F.} and Chasi-Pes{\'a}ntez, {Paul A.} and Barros-Piedra, {David P.} and Coronel-Gonz{\'a}lez, {Edwin J.} and Bustamante-Cacao, {Katherine C.}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 6th International Congress on Information and Communication Technology, ICICT 2021 ; Conference date: 25-02-2021 Through 26-02-2021",

year = "2022",

doi = "10.1007/978-981-16-1781-2_33",

language = "English",

isbn = "9789811617805",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "359--367",

editor = "Xin-She Yang and Simon Sherratt and Nilanjan Dey and Amit Joshi",

booktitle = "Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021",

address = "Germany",

}

Ordoñez-Ordoñez, JO , Guerrero-Vásquez, LF , Chasi-Pesántez, PA, Barros-Piedra, DP, Coronel-González, EJ & Bustamante-Cacao, KC 2022, LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador. En X-S Yang, S Sherratt, N Dey & A Joshi (eds.), Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021. Lecture Notes in Networks and Systems, vol. 216, Springer Science and Business Media Deutschland GmbH, pp. 359-367, 6th International Congress on Information and Communication Technology, ICICT 2021, Virtual, Online, 25/02/21. https://doi.org/10.1007/978-981-16-1781-2_33

LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador. / Ordoñez-Ordoñez, Jorge O.; Guerrero-Vásquez, Luis F.; Chasi-Pesántez, Paul A. et al.
Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2022. p. 359-367 (Lecture Notes in Networks and Systems; Vol. 216).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - LDA Algorithm for the Identification of Topics

T2 - 6th International Congress on Information and Communication Technology, ICICT 2021

AU - Ordoñez-Ordoñez, Jorge O.

AU - Guerrero-Vásquez, Luis F.

AU - Chasi-Pesántez, Paul A.

AU - Barros-Piedra, David P.

AU - Coronel-González, Edwin J.

AU - Bustamante-Cacao, Katherine C.

PY - 2022

Y1 - 2022

N2 - In the last years, the environment in which we develop has had various changes, most of them due to major technological changes, and the constant development of Information and Communication Technologies (ICTs). As a result of the advances in ICTs, today it is common to interact through social networks and make constant use of them. For this reason, this paper presents an analysis of the 10 most influential Twitter accounts in Ecuador; the objective of this analysis is to detect what the topics or topics addressed in these accounts are. The Latent Dirichlet Allocation (LDA) algorithm using bag of words (BoW) model and also the Term Frequency–Inverse Document Frequency (TF-IDF) model were used for the analysis, finally finding, if the topics provided by both models are similar.

AB - In the last years, the environment in which we develop has had various changes, most of them due to major technological changes, and the constant development of Information and Communication Technologies (ICTs). As a result of the advances in ICTs, today it is common to interact through social networks and make constant use of them. For this reason, this paper presents an analysis of the 10 most influential Twitter accounts in Ecuador; the objective of this analysis is to detect what the topics or topics addressed in these accounts are. The Latent Dirichlet Allocation (LDA) algorithm using bag of words (BoW) model and also the Term Frequency–Inverse Document Frequency (TF-IDF) model were used for the analysis, finally finding, if the topics provided by both models are similar.

KW - Data mining

KW - ICTs

KW - LDA

KW - Machine learning

KW - Social networks

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U2 - 10.1007/978-981-16-1781-2_33

DO - 10.1007/978-981-16-1781-2_33

M3 - Conference contribution

AN - SCOPUS:85115611524

SN - 9789811617805

T3 - Lecture Notes in Networks and Systems

SP - 359

EP - 367

BT - Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021

A2 - Yang, Xin-She

A2 - Sherratt, Simon

A2 - Dey, Nilanjan

A2 - Joshi, Amit

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 25 February 2021 through 26 February 2021

ER -

Ordoñez-Ordoñez JO , Guerrero-Vásquez LF , Chasi-Pesántez PA, Barros-Piedra DP, Coronel-González EJ, Bustamante-Cacao KC. LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador. En Yang XS, Sherratt S, Dey N, Joshi A, editores, Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 359-367. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-16-1781-2_33

LDA Algorithm for the Identification of Topics: A Case of Study in the Most Influential Twitter Accounts in Ecuador

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