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

Sarah Feislachen; Philip Garus; Hong Wang; Eduard Podkolin; Sarah Schlüter; Nadine Schulze Bernd; Alexander Nolte; Sven Manske; Irene-Angelica Chounta

doi:10.1145/3543758.3547563

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

Sarah Feislachen, Philip Garus, Hong Wang, Eduard Podkolin, Sarah Schlüter, Nadine Schulze Bernd, Alexander Nolte, Sven Manske, Irene-Angelica Chounta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	MuC '22: Proceedings of Mensch und Computer 2022
Editors	Max Mühlhäuser, Christian Reuter
Publisher	Association for Computing Machinery, Inc
Pages	493-497
Number of pages	5
ISBN (Print)	978-1-4503-9690-5
DOIs	https://doi.org/10.1145/3543758.3547563
Publication status	Published - 2022
Externally published	Yes

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Feislachen, S., Garus, P., Wang, H., Podkolin, E., Schlüter, S., Schulze Bernd, N., Nolte, A., Manske, S., & Chounta, I.-A. (2022). Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus. In M. Mühlhäuser, & C. Reuter (Eds.), MuC '22: Proceedings of Mensch und Computer 2022 (pp. 493-497). Association for Computing Machinery, Inc. https://doi.org/10.1145/3543758.3547563

@inproceedings{c9a68899d2c943abb2b19a76807a91a3,

title = "Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus",

abstract = "This paper presents the analysis of participants{\textquoteright} 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{\textquoteright} 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.",

author = "Sarah Feislachen and Philip Garus and Hong Wang and Eduard Podkolin and Sarah Schl{\"u}ter and {Schulze Bernd}, Nadine and Alexander Nolte and Sven Manske and Irene-Angelica Chounta",

year = "2022",

doi = "10.1145/3543758.3547563",

language = "English",

isbn = "978-1-4503-9690-5",

pages = "493--497",

editor = "Max M{\"u}hlh{\"a}user and Christian Reuter",

booktitle = "MuC '22: Proceedings of Mensch und Computer 2022",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

}

Feislachen, S, Garus, P, Wang, H, Podkolin, E, Schlüter, S, Schulze Bernd, N, Nolte, A, Manske, S & Chounta, I-A 2022, Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus. in M Mühlhäuser & C Reuter (eds), MuC '22: Proceedings of Mensch und Computer 2022. Association for Computing Machinery, Inc, pp. 493-497. https://doi.org/10.1145/3543758.3547563

Sentiment Analysis of Participants Interactions in a Hackathon Context: The Example of a Slack Corpus. / Feislachen, Sarah; Garus, Philip; Wang, Hong et al.
MuC '22: Proceedings of Mensch und Computer 2022. ed. / Max Mühlhäuser; Christian Reuter. Association for Computing Machinery, Inc, 2022. p. 493-497.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Sentiment Analysis of Participants Interactions in a Hackathon Context

T2 - The Example of a Slack Corpus

AU - Feislachen, Sarah

AU - Garus, Philip

AU - Wang, Hong

AU - Podkolin, Eduard

AU - Schlüter, Sarah

AU - Schulze Bernd, Nadine

AU - Nolte, Alexander

AU - Manske, Sven

AU - Chounta, Irene-Angelica

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

U2 - 10.1145/3543758.3547563

DO - 10.1145/3543758.3547563

M3 - Conference contribution

SN - 978-1-4503-9690-5

SP - 493

EP - 497

BT - MuC '22: Proceedings of Mensch und Computer 2022

A2 - Mühlhäuser, Max

A2 - Reuter, Christian

PB - Association for Computing Machinery, Inc

ER -

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

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