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Comparative Study of RDF and OWL Ontology Languages as Support for the Semantic Web Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Twitter Opinion Analysis About Topic 5G Technology

Authors : Anibal A. Herrera-Contreras, Eddy Sánchez-Delacruz, Ivan V. Meza-Ruiz

Published in: Applied Technologies

Publisher: Springer International Publishing

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Abstract

Nowadays, Twitter has become a rich source for sentiment analysis and opinion mining data since every day thousand of users freely expresses their opinions in this social network. In this research, we analyze and classify the sentiment of shared publications that have the hashtag “#5G” as positive, negative or neutral. We use Google Cloud AutoML Natural Language Sentiment Analysis and we obtained a classification model with accuracy and recall of 80.89%, likewise applying Latent Dirichlet Allocation for the detection of topics. The result shows that is possible to identify main factors about public opinion in the acceptance or rejection of technology 5G, this information can be useful for technology companies.

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Metadata
Title
Twitter Opinion Analysis About Topic 5G Technology
Authors
Anibal A. Herrera-Contreras
Eddy Sánchez-Delacruz
Ivan V. Meza-Ruiz
Copyright Year
2020
Book
Applied Technologies

Print ISBN: 978-3-030-42516-6

Electronic ISBN: 978-3-030-42517-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-42517-3_15

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