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Abstract
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| 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. | |
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International
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Si |
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Congress
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International Conference on Applied Human Factors and Ergonomics, 2019 |
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960 |
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Place
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Washington D.C., DC, USA |
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Reviewers
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Si |
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ISBN/ISSN
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978-3-030-20453-2 |
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10.1007/978-3-030-20454-9_17 |
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Start Date
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24/07/2019 |
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End Date
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28/07/2019 |
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From page
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169 |
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To page
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178 |
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Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, |