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Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets
Konadl, Daniel, Wörner, Janik und Leist, Susanne
(2021)
Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets.
In:
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021).
University of Hawai'i at Manoa, Honolulu, HI, S. 2511-2520.
ISBN 978-0-9981331-4-0.
Veröffentlichungsdatum dieses Volltextes: 07 Jan 2021 06:48
Buchkapitel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.44358
Zusammenfassung
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 ...
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 kind of social media texts previously discussed within the literature. We collected an overall amount of 358.923.210 tweets and performed analysis to un-cover the effects of continents, mobile devices’ oper-ating systems (OS) and the combination of both on sentiments expressed within tweets. Our results show remarkable differences for tweets originating from North America and Apple devices, which turned out to be the tweets with the lowest sentiments compared to the other continents and the mobile OS Android.
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Details
| Dokumentenart | Buchkapitel |
| ISBN | 978-0-9981331-4-0 |
| Buchtitel: | Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021) |
|---|---|
| Verlag: | University of Hawai'i at Manoa |
| Ort der Veröffentlichung: | Honolulu, HI |
| Seitenbereich: | S. 2511-2520 |
| Datum | 5 Januar 2021 |
| Institutionen | Wirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist) Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist) |
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Status | Veröffentlicht |
| Begutachtet | Ja, diese Version wurde begutachtet |
| An der Universität Regensburg entstanden | Ja |
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-443581 |
| Dokumenten-ID | 44358 |
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