Sentiment Analysis Of Open Source Communities: An Exploratory Study

PROCEEDINGS OF THE 15TH INTERNATIONAL SYMPOSIUM ON OPEN COLLABORATION (OPENSYM)(2019)

引用 1|浏览6
暂无评分
摘要
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?
更多
查看译文
关键词
Open Source, Sentiment Analysis, Mailing List, DPDK
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要