Sentiment Analysis of Facebook Posts:the Uber case

Anna Baj-Rogowska

Sentiment Analysis of Facebook Posts:the Uber case

Abstract

This article analyses the sentiment of opinions, i. e. its classification as phrases with a neutral, positive and negative emotional tone. Data used as a basis for the analysis were opinions expressed by Facebook users about Uber and collected in the period between July 2016 and July 2017. The primary objective of the study was to obtain information about the perceptions of Uber over thirteen consecutive months. The study confirms that this analysis type is of value to a contemporary business.

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Anna Baj-Rogowska dr

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Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: 2017 IEEE Eighth International Conference on Intelligent Computing and Information Systems (ICICIS'17) strony 391 - 395
ISSN:: 1687-1103
Language:: Polish
Publication year:: 2017
Bibliographic description:: Baj-Rogowska A.: Sentiment Analysis of Facebook Posts:the Uber case// 2017 IEEE Eighth International Conference on Intelligent Computing and Information Systems (ICICIS'17)/ Cairo: , 2017, s.391-395
Verified by:: Gdańsk University of Technology