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 |
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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 | |
State | Published - 16 Dec 2015 |
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 |
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Conference
Conference | 41st Latin American Computing Conference, CLEI 2015 |
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Country/Territory | Peru |
City | Arequipa |
Period | 19/10/15 → 23/10/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Data Mining
- Naive Bayes
- Prediction
- Sentiment Analysis
- Social Network
- Tourist Traffic