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Sentiment analysis of open source communities: an exploratory study

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Kieran ConboyAuthors Info & Claims

OpenSym '19: Proceedings of the 15th International Symposium on Open Collaboration

Article No.: 20, Pages 1 - 5

https://doi.org/10.1145/3306446.3340816

Published: 20 August 2019 Publication History

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Abstract

Open Source Software (OSS) mailing lists have become popular targets for mining sentiment and emotions, as they provide a centralized communication hub between the distributed OSS community. Sentiment and emotions within communities can provide insights into how a community responds to certain events, who are the key members and how their behaviours impact the rest of the community. Such insights can inform initiatives aimed at fostering positive interactions between OSS community members, strengthening social ties, and helping the community accomplish its tasks. This poster presents our initial results from sentiment analysis of an OSS mailing list, and answers two key questions: (1) Given that the mailing list is used for peer-review of code, is the community sentiment negative overall? (2) Is community sentiment related to the month of the release cycle?

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Patnaik APadhy N(2024)A Hybrid Approach to Enhance Software Quality by Sentiment Analysis of DeveloperComputing, Communication and Learning10.1007/978-3-031-56998-2_10(113-125)Online publication date: 31-Mar-2024
https://doi.org/10.1007/978-3-031-56998-2_10
Ehsani RRezapour RChatterjee PChandra SBlincoe KTonella P(2023)Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated IssuesProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3613077(2092-2096)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3613077
Lin BCassee NSerebrenik ABavota GNovielli NLanza M(2022)Opinion Mining for Software Development: A Systematic Literature ReviewACM Transactions on Software Engineering and Methodology10.1145/349038831:3(1-41)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.1145/3490388

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OpenSym '19: Proceedings of the 15th International Symposium on Open Collaboration

August 2019

197 pages

ISBN:9781450363198

DOI:10.1145/3306446

General Chairs:
Björn Lundell
University of Skövde, Sweden
,
Jonas Gamalielsson
University of Skövde, Sweden
,
Program Chairs:
Lorraine Morgan
National University of Ireland Galway
,
Gregorio Robles
Universidad Rey Juan Carlos, Spain

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 20 August 2019

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OpenSym '19: The 15th International Symposium on Open Collaboration

August 20 - 22, 2019

Skövde, Sweden

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Patnaik APadhy N(2024)A Hybrid Approach to Enhance Software Quality by Sentiment Analysis of DeveloperComputing, Communication and Learning10.1007/978-3-031-56998-2_10(113-125)Online publication date: 31-Mar-2024
https://doi.org/10.1007/978-3-031-56998-2_10
Ehsani RRezapour RChatterjee PChandra SBlincoe KTonella P(2023)Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated IssuesProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3613077(2092-2096)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3613077
Lin BCassee NSerebrenik ABavota GNovielli NLanza M(2022)Opinion Mining for Software Development: A Systematic Literature ReviewACM Transactions on Software Engineering and Methodology10.1145/349038831:3(1-41)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.1145/3490388

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Sentiment analysis of open source software community mailing list: a preliminary analysis

Volunteer management in open source communities

Sustaining Open Source Communities by Understanding the Influence of Discursive Manifestations on Sentiment

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