MARKETING RESEARCH: THE ROLE OF SENTIMENT ANALYSIS

Meena Rambocas () and João Gama ()
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Meena Rambocas: Department of Management Studies, The University of the West Indies (St. Augustine Campus)
João Gama: Laboratory of Artificial Intelligence andDecision Support & Faculty of Economics University of Porto

FEP Working Papers from Universidade do Porto, Faculdade de Economia do Porto

Abstract: This article promotes sentiment analysis as an alternative research technique for collecting and analyzing textual data on the internet. Sentiment analysis is a data mining technique that systematically evaluates textual content using machine learning techniques. As a research method in marketing, sentiment analysis presents an efficient and effective evaluation of consumer opinions in real time. It allows data collection and analysis from a very large sample without hindrances, obstructions and time delays. Through sentiment analysis, marketers collect rich data on attitudes and opinion in real time, without compromising reliability, validity and generalizability. Marketers also gather feedback on attitudes and opinions as they occur without having to invest in lengthy and costly market research activities. The paper proposes sentiment analysis as an alternative technique capable of triangulating qualitative and quantitative methods through innovative real time data collection and analysis. The paper concludes with the challenges marketers can face when using this technique in their research work.

Keywords: Sentiment analysis; Machine leaning; Marketing research; Triangulation; Qualitative research; Quantitative research (search for similar items in EconPapers)
JEL-codes: M10 M30 M31 M39 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2013-04
New Economics Papers: this item is included in nep-mkt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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