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

被引：0

作者：

Feislachen, Sarah ^{[1
]}

Garus, Philip ^{[1
]}

Wang, Hong ^{[1
]}

Podkolin, Eduard ^{[1
]}

Schlueter, Sarah ^{[1
]}

Bernd, Nadine Schulze ^{[1
]}

Manske, Sven ^{[2
]}

Nolte, Alexander ^{[1
]}

Chounta, Irene-Angelica ^{[1
]}

机构：

[1] Univ Duisburg Essen, Dept Comp Sci & Appl Cognit Sci, Duisburg, Germany

[2] Univ Tartu, Inst Comp Sci, Tartu, Estonia

来源：

MUC 2022: PROCEEDINGS OF MENSCH UND COMPUTER 2022 | 2022年

关键词：

hackathons; sentiment analysis; natural language processing; emojis; slack; online communication; collaboration; EMOTICONS; COMMUNICATION;

D O I：

10.1145/3543758.3547563

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：493 / 497

页数：5

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