Sentiment analysis of Facebook posts: The Uber case

Autor:	Anna Baj-Rogowska
Rok vydání:	2017
Předmět:	genetic structures Sentiment analysis 0202 electrical engineering electronic engineering information engineering 020207 software engineering 020201 artificial intelligence & image processing Advertising 02 engineering and technology Psychology Emotional tone Period (music)
Zdroj:	2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS).
DOI:	10.1109/intelcis.2017.8260068
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b6065fe31b9e8804a4d62268b6466f https://doi.org/10.1109/intelcis.2017.8260068 Zobrazit plný text záznamu