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Assessing the accuracy of sentiment analysis of social media posts at small and medium-sized enterprises in Southern Germany

Schwaiger, Josef Michael, Lang, Markus, Ritter, Christian and Johannsen, Florian (2016) Assessing the accuracy of sentiment analysis of social media posts at small and medium-sized enterprises in Southern Germany. In: ECIS 2016, 12. - 15.06.2016, Istanbul.

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Date of publication of this fulltext: 27 Jun 2016 13:44

Abstract

In recent years, small and medium-sized enterprises (SMEs) have increasingly adopted Social Media technologies with the purpose of fostering the bidirectional communication with customers or to facili-tate the collaboration between employees amongst each other. Thereby, customer posts in a company’s Social Media channels capture consumers’ current attitude towards product and service offerings or ...

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Item type:Conference or workshop item (Paper)
Date:June 2016
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Keywords:Social Media; sentiment analysis; small and medium-sized enterprises
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:33932
Owner only: item control page

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