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

URN to cite this document:: urn:nbn:de:bvb:355-epub-339320
DOI to cite this document:: 10.5283/epub.33932

Schwaiger, Josef Michael ; Lang, Markus ; Ritter, Christian ; Johannsen, Florian

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

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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) Informatics and Data Science > Department Information Systems > 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

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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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