Opinion mining in management research: the state of the art and the way forward

Soumya Mukhopadhyay ()
Additional contact information
Soumya Mukhopadhyay: Indian Institute of Management

OPSEARCH, 2018, vol. 55, issue 2, No 1, 250 pages

Abstract: Abstract In the past decade, the explosive growth of social media has led to the emergence of a wide variety of information sources that can significantly impact individual level decision making processes. This has resulted in an increasing availability of unstructured textual data and automated evaluation of opinions, attitudes, and emotions has been accepted as an indispensable analytical tool in diverse domains. Consequently, there is a strong need to understand the underlying technical aspects of this emerging new field of analysis. In the current paper we address this need by reviewing the state of the art in sentiment analysis, summarize some of the important recent applications of sentiment analysis and offer future directions for further research. This paper differs from earlier reviews in a number of ways: first, it offers preliminary technical exposition of various techniques following a simple classification scheme so as to help potential future users to develop overall understanding of this rapidly developing field; second, it discusses in greater detail some of the more recently proposed techniques to solve a set of problems in specific management domains; third, it also presents some examples to elucidate how combining sentiment analysis techniques with conventional econometric approaches can help us solve business specific problems. The main goal of this paper is to generate more interest about this interesting new domain among management researchers.

Keywords: Pre-processing; Sentiment analysis; Financial sentiment; Customer sentiment (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12597-017-0328-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:opsear:v:55:y:2018:i:2:d:10.1007_s12597-017-0328-3

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-017-0328-3

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().