Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network

Ricardo Linares; José Herrera; Ana Cuadros; Luis Alfaro

doi:10.1109/CLEI.2015.7360051

Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network

Ricardo Linares
, José Herrera
, Ana Cuadros
, Luis Alfaro

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

11 Scopus citations

Abstract

This work involves the use of tweets, from Twitter social network in which the users manifest the desire to travel to the country of Peru, to build a predictive tool of tourist traffic. To make this task has been made automated collection of tweets using web crawling and has been used Naive Bayes algorithm for sorting tweets as part of sentiment analysis. In the final part, we shown the results of the application of the tool for predicting the influx of tourists to Peru.

Original language	English
Title of host publication	Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
Editors	Alex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467391436
DOIs	https://doi.org/10.1109/CLEI.2015.7360051
State	Published - 16 Dec 2015
Externally published	Yes
Event	41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru Duration: 19 Oct 2015 → 23 Oct 2015

Publication series

Name	Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conference

Conference	41st Latin American Computing Conference, CLEI 2015
Country/Territory	Peru
City	Arequipa
Period	19/10/15 → 23/10/15

Keywords

Data Mining
Naive Bayes
Prediction
Sentiment Analysis
Social Network
Tourist Traffic
Twitter

Access to Document

10.1109/CLEI.2015.7360051

Cite this

Linares, R., Herrera, J., Cuadros, A., & Alfaro, L. (2015). Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network. In A. Cuadros-Vargas, H. Cancela, & E. Cuadros-Vargas (Eds.), Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015 Article 7360051 (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLEI.2015.7360051

Linares, Ricardo ; Herrera, José ; Cuadros, Ana et al. / Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network. Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. editor / Alex Cuadros-Vargas ; Hector Cancela ; Ernesto Cuadros-Vargas. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015).

@inproceedings{d65093673be84fc588e23291e87ae986,

title = "Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network",

abstract = "This work involves the use of tweets, from Twitter social network in which the users manifest the desire to travel to the country of Peru, to build a predictive tool of tourist traffic. To make this task has been made automated collection of tweets using web crawling and has been used Naive Bayes algorithm for sorting tweets as part of sentiment analysis. In the final part, we shown the results of the application of the tool for predicting the influx of tourists to Peru.",

keywords = "Data Mining, Naive Bayes, Prediction, Sentiment Analysis, Social Network, Tourist Traffic, Twitter",

author = "Ricardo Linares and Jos{\'e} Herrera and Ana Cuadros and Luis Alfaro",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 41st Latin American Computing Conference, CLEI 2015 ; Conference date: 19-10-2015 Through 23-10-2015",

year = "2015",

month = dec,

day = "16",

doi = "10.1109/CLEI.2015.7360051",

language = "Ingl{\'e}s",

series = "Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Alex Cuadros-Vargas and Hector Cancela and Ernesto Cuadros-Vargas",

booktitle = "Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015",

}

Linares, R, Herrera, J, Cuadros, A & Alfaro, L 2015, Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network. in A Cuadros-Vargas, H Cancela & E Cuadros-Vargas (eds), Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015., 7360051, Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015, Institute of Electrical and Electronics Engineers Inc., 41st Latin American Computing Conference, CLEI 2015, Arequipa, Peru, 19/10/15. https://doi.org/10.1109/CLEI.2015.7360051

Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network. / Linares, Ricardo; Herrera, José; Cuadros, Ana et al.
Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. ed. / Alex Cuadros-Vargas; Hector Cancela; Ernesto Cuadros-Vargas. Institute of Electrical and Electronics Engineers Inc., 2015. 7360051 (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015).

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

TY - GEN

T1 - Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network

AU - Linares, Ricardo

AU - Herrera, José

AU - Cuadros, Ana

AU - Alfaro, Luis

PY - 2015/12/16

Y1 - 2015/12/16

N2 - This work involves the use of tweets, from Twitter social network in which the users manifest the desire to travel to the country of Peru, to build a predictive tool of tourist traffic. To make this task has been made automated collection of tweets using web crawling and has been used Naive Bayes algorithm for sorting tweets as part of sentiment analysis. In the final part, we shown the results of the application of the tool for predicting the influx of tourists to Peru.

AB - This work involves the use of tweets, from Twitter social network in which the users manifest the desire to travel to the country of Peru, to build a predictive tool of tourist traffic. To make this task has been made automated collection of tweets using web crawling and has been used Naive Bayes algorithm for sorting tweets as part of sentiment analysis. In the final part, we shown the results of the application of the tool for predicting the influx of tourists to Peru.

KW - Data Mining

KW - Naive Bayes

KW - Prediction

KW - Sentiment Analysis

KW - Social Network

KW - Tourist Traffic

KW - Twitter

UR - https://www.scopus.com/pages/publications/84961885112

U2 - 10.1109/CLEI.2015.7360051

DO - 10.1109/CLEI.2015.7360051

M3 - Articulo (Contribución a conferencia)

AN - SCOPUS:84961885112

T3 - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

BT - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

A2 - Cuadros-Vargas, Alex

A2 - Cancela, Hector

A2 - Cuadros-Vargas, Ernesto

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 41st Latin American Computing Conference, CLEI 2015

Y2 - 19 October 2015 through 23 October 2015

ER -

Linares R, Herrera J, Cuadros A, Alfaro L. Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network. In Cuadros-Vargas A, Cancela H, Cuadros-Vargas E, editors, Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7360051. (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015). doi: 10.1109/CLEI.2015.7360051

Prediction of tourist traffic to Peru by using sentiment analysis in Twitter social network

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Keywords

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