@inproceedings{4189dcaae87744e2b724af2fead881fc,
title = "Identifying Touristic Interest Using Big Data Techniques",
abstract = "The objective of this paper is to identify the most visited places through a sentiment analysis of the tweets posted by people who visited a specific region of a city. The analyzed data were related to preferences and opinions about tourist places. This paper outlines an architectural framework and a methodology to collect and analysis big data from twitter platform.",
keywords = "Big data, Harvesting, Sentiment analysis, User{\textquoteright}s interest",
author = "Maritzol Tenemaza and Edison, \{Loza Aguirre\} and Myriam Pe{\~n}afiel and Zaldumbide Juan and \{de Antonio\}, Angelica and Ja{\'i}me Ramirez",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019 ; Conference date: 24-07-2019 Through 28-07-2019",
year = "2020",
doi = "10.1007/978-3-030-20454-9\_17",
language = "Ingl{\'e}s",
isbn = "9783030204532",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "169--178",
editor = "Tareq Ahram",
booktitle = "Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019",
}