short-paper

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

Authors:

Sarah Feislachen,

Eduard Podkolin,

Sarah Schlüter,

Nadine Schulze Bernd,

Alexander Nolte,

Irene-Angelica ChountaAuthors Info & Claims

MuC '22: Proceedings of Mensch und Computer 2022

Pages 493 - 497

https://doi.org/10.1145/3543758.3547563

Published: 15 September 2022 Publication History

Abstract

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.

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Cited By

Sharma DShilpa (2024)Evaluation of Different Machine Learning Methods for Sentiment Analysis of Indian Languages2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO61523.2024.10522429(1-6)Online publication date: 14-Mar-2024
https://doi.org/10.1109/ICRITO61523.2024.10522429

Index Terms

Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)

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MuC '22: Proceedings of Mensch und Computer 2022

September 2022

624 pages

ISBN:9781450396905

DOI:10.1145/3543758

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 15 September 2022

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MuC '22

MuC '22: Mensch und Computer 2022

September 4 - 7, 2022

Darmstadt, Germany

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Cited By

Sharma DShilpa (2024)Evaluation of Different Machine Learning Methods for Sentiment Analysis of Indian Languages2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO61523.2024.10522429(1-6)Online publication date: 14-Mar-2024
https://doi.org/10.1109/ICRITO61523.2024.10522429

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