Prediction of Tourist Traffic to Peru by using Sentiment Analysis in Twitter Social Network

被引：0
|
作者：
Linares, Ricardo [1 ]
Herrera, Jose [1 ]
Cuadros, Ana [1 ]
Alfaro, Luis [1 ]
机构：
[1] UNSA, Arequipa, Peru
来源：
2015 XLI LATIN AMERICAN COMPUTING CONFERENCE (CLEI) | 2015年
关键词：
Prediction; Naive Bayes; Tourist Traffic; Sentiment Analysis; Twitter; Data Mining; Social Network;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：798 / 804
页数：7
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