Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets - University of Regensburg Publication Server

URN to cite this document:: urn:nbn:de:bvb:355-epub-443581
DOI to cite this document:: 10.5283/epub.44358

Konadl, Daniel ; Wörner, Janik ; Leist, Susanne

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Date of publication of this fulltext: 07 Jan 2021 06:48

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Item type:	Book section
ISBN:	978-0-9981331-4-0
Title of Book:	Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021)
Publisher:	University of Hawai'i at Manoa
Place of Publication:	Honolulu, HI
Page Range:	pp. 2511-2520
Date:	5 January 2021
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)
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:	44358

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Abstract

Context factors have lasting impacts on people’s sentiments. Exploring impacts that different contexts have on sentiments can be crucial for managing the increasing number of communications companies nowadays maintain with customers via social media channels. To help companies prevent impacts of neg-ative word of mouth, we provide an overview about sentiment-influential contexts for tweets as one ...