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Comparing Methods to Retrieve Tweets: a Sentiment Approach

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Schlosser, S.; Toninelli, D.; Cameletti, M. (2020). Comparing Methods to Retrieve Tweets: a Sentiment Approach. Editorial Universitat Politècnica de València. 299-306. https://doi.org/10.4995/CARMA2020.2020.11653

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/149605

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Title: Comparing Methods to Retrieve Tweets: a Sentiment Approach
Author: Schlosser, Stephan Toninelli, Daniele Cameletti, Michela
Issued date:
Abstract:
[EN] In current times Internet and social media have become almost unavoidabletools to support research and decision making processes in various fields.Nevertheless, the collection and use of data retrieved from these types ...[+]
Subjects: Web data , Internet data , Big data , Qca , Pls , Sem , Conference , Social media data collection methods , Twitter data , Sentiment Analysis , Social network , Geographical studies
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490488324
DOI: 10.4995/CARMA2020.2020.11653
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11653
Conference name: CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 08-09,2020
Type: Capítulo de libro Comunicación en congreso

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