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

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

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.

Original language	English
Title of host publication	Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	359-367
Number of pages	9
ISBN (Print)	9789811617805
DOIs	https://doi.org/10.1007/978-981-16-1781-2_33
State	Published - 2022
Event	6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online Duration: 25 Feb 2021 → 26 Feb 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	216
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Congress on Information and Communication Technology, ICICT 2021
City	Virtual, Online
Period	25/02/21 → 26/02/21

Bibliographical note

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

Keywords

Data mining
ICTs
LDA
Machine learning
Social networks

Access to Document

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

Cite this

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. In 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",

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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. in 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).

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

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

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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.

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KW - ICTs

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KW - Social networks

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

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A2 - Dey, Nilanjan

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PB - Springer Science and Business Media Deutschland GmbH

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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. In Yang XS, Sherratt S, Dey N, Joshi A, editors, 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

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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