Search
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.
Cite as
Full text
full text is not available in portal
Keywords
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
seen 120 times
Recommended for you
Text-mining Similarity Approximation Operators for Opinion Mining in BI tools
- N. Rizun,
- P. Kapłański,
- Y. Taranenko
- + 1 authors
2016
Celebrities’ personal brand authenticity in social media: an application in the context of football top-players. The Robert Lewandowski case
- W. Kucharska,
- F. Brunetti,
- I. Confente
- + 1 authors
2018