首页|New Machine Learning Data Have Been Reported by Investigators at Polytechnique Montreal (Incivility Detection In Open Source Code Review and Issue Discussions)
New Machine Learning Data Have Been Reported by Investigators at Polytechnique Montreal (Incivility Detection In Open Source Code Review and Issue Discussions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Machine Learning. According to news reporting from Montreal, Canada, by NewsRx journalists, research stated, "Given the democratic nature of open source development, code review and issue discussions may be uncivil. Incivility, defined as features of discussion that convey an unnecessarily disrespectful tone, can have negative consequences to open source communities." Financial support for this research came from CGIAR. The news correspondents obtained a quote from the research from Polytechnique Montreal, "To prevent or minimize these negative consequences, open source platforms have included mechanisms for removing uncivil language from the discussions. However, such approaches require manual inspection, which can be overwhelming given the large number of discussions. To help open source communities deal with this problem, in this paper, we aim to compare six classical machine learning models with BERT to detect incivility in open source code review and issue discussions. Furthermore, we assess if adding contextual information in the previous email/comment improves the models' performance and how well the models perform in a cross-platform setting. We found that BERT performs better than classical machine learning models, with a best F1-score of 0.95. Furthermore, classical machine learning models tend to underperform to detect tone-bearing and civil discussions. Our results show that adding the previous email/comment to BERT did not improve its performance and that none of the analyzed classifiers had an outstanding performance in a cross-platform setting."
MontrealCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningPolytechnique Montreal
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