Sentiment analysis of open source communities: An exploratory study

Jennifer Ferreira, Michael Glynn, David Hunt, Jaganath Babu, Denis Dennehy, Kieran Conboy

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

4 Citations (Scopus)

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?.

Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Open Collaboration, OpenSym 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450363198
DOIs
Publication statusPublished - 20 Aug 2019
Externally publishedYes
Event15th International Symposium on Open Collaboration, OpenSym 2019 - Skovde, Sweden
Duration: 20 Aug 201922 Aug 2019

Publication series

NameProceedings of the 15th International Symposium on Open Collaboration, OpenSym 2019

Conference

Conference15th International Symposium on Open Collaboration, OpenSym 2019
Country/TerritorySweden
CitySkovde
Period20/08/1922/08/19

Keywords

  • DPDK
  • Mailing List
  • Open Source
  • Sentiment Analysis

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