Skip navigation
User training | Reference and search service

Library catalog

Content aggregators
Please use this identifier to cite or link to this item:

Title: Data extraction and preparation to perform a sentiment analysis using open source tools: the example of a Facebook fashion brand page
Authors: Teixeira, A.
Laureano, R.M. S.
Keywords: Sentiment analysis
Social media
Data extraction
Open source
Issue Date: 2017
Publisher: IEEE
Abstract: Social Media is a subject that is being very discussed in the present. The increasing availability of internet and the growth of Social Media platforms drove organizations attention to Opinion Mining and Sentiment Analysis. One of the most popular Social Media Platform is Facebook. In this Social Media Platform users/consumers can express their feelings with comments or with emotion buttons. With the functionalities of Facebook, they can criticize, praise, suggest or expect. The user's interactions with a brand page as posts, likes, shares or comments are getting more relevance in present days. The analysed data can give to decision-makers new approaches to run their business, understand their brand value against the competitors or even understand better what are the evaluations of customers or potential customers about the brand products or services. The purpose of this paper is to explain how to extract and prepare data collected in Facebook using open-source tools to perform a Sentiment Analysis.
Peer reviewed: yes
DOI: 10.23919/CISTI.2017.7975879
ISBN: 978-989-98434-7-9
ISSN: 2166-0727
Appears in Collections:BRU-CRI - Comunicações a conferências internacionais
ISTAR-CRI - Comunicações a conferências internacionais

Files in This Item:
File Description SizeFormat 
Teixeira & Laureano (2017)_IEEE.pdfPós-print5.06 MBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.