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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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Details
- 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
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