@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.; null ; 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",
}