Companies Image Evaluation Using Social Media and Sentiment Analysis

Liviu-Adrian Cotfas (), Camelia Delcea () and Ramona-Mihaela Păun ()
Additional contact information
Liviu-Adrian Cotfas: Bucharest University of Economic Studies
Camelia Delcea: Bucharest University of Economic Studies
Ramona-Mihaela Păun: Webster University

A chapter in Eurasian Business Perspectives, 2020, pp 277-286 from Springer

Abstract: Abstract While the literature contains many slightly different definitions for the image of a company, they all put great emphasis on its importance. Many of the messages posted on social media networks nowadays contain strong sentiment and emotion indications regarding almost any topic, therefore turning them into a rich and almost real-time data source for analyzing the public’s opinion on various subjects, including many of the factors that can influence the image of companies. Thus, in this chapter we propose a natural language processing (NLP) approach for monitoring and evaluating the companies’ image by extracting information from social media messages posted on Twitter. The messages are analyzed using a bag-of-words sentiment analysis approach. The results of the analysis are stored as semantically structured data, thus making it possible to fully exploit the possibilities offered by semantic web technologies, such as inference and accessing the vast amount of knowledge in Linked Open Data, for further analysis.

Keywords: Company Image; Social Media Analysis; Sentiment Analysis; Semantic Web; Ontology (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-030-52294-0_18

Ordering information: This item can be ordered from
http://www.springer.com/9783030522940

DOI: 10.1007/978-3-030-52294-0_18

Access Statistics for this chapter

More chapters in Eurasian Studies in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().