Descripción
|
|
---|---|
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. | |
Internacional
|
Si |
Nombre congreso
|
International Conference on Applied Human Factors and Ergonomics, 2019 |
Tipo de participación
|
960 |
Lugar del congreso
|
Washington D.C., DC, USA |
Revisores
|
Si |
ISBN o ISSN
|
978-3-030-20453-2 |
DOI
|
10.1007/978-3-030-20454-9_17 |
Fecha inicio congreso
|
24/07/2019 |
Fecha fin congreso
|
28/07/2019 |
Desde la página
|
169 |
Hasta la página
|
178 |
Título de las actas
|
Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, |