Logo des Repositoriums
 
Konferenzbeitrag

Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus

Vorschaubild nicht verfügbar

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2022

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

ACM

Zusammenfassung

This paper presents the analysis of participants’ interactions during an online hackathon using Natural Language Processing (NLP) techniques. In particular, we explored the communication of groups facilitated by Slack focusing on the use of emojis. Our findings suggest that most used emojis are positive, while negative emojis appeared rarely. Sentiment of written messages was overall positive and could be linked to topics such as motivation or achievements. Topics about participants’ disappointment regarding their progress or the hackathon organization, technical issues and criticism were associated with negative sentiment. We envision that our work offers insights regarding online communication in group and collaborative contexts with an emphasis on group work and interest-based activities.

Beschreibung

Feislachen, Sarah; Garus, Philip; Wang, Hong; Podkolin, Eduard; Schlüter, Sarah; Schulze Bernd, Nadine; Nolte, Alexander; Manske, Sven; Chounta, Irene-Angelica (2022): Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus. Mensch und Computer 2022 - Tagungsband. DOI: 10.1145/3543758.3547563. New York: ACM. pp. 485-489. MCI-POSTER. Darmstadt. 4.-7. September 2022

Zitierform

Tags