期刊
2018 IEEE/ACM 15TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR)
卷 -, 期 -, 页码 364-375出版社
IEEE
DOI: 10.1145/3196398.3196403
关键词
Sentiment analysis; Communication Channels; Social Software Engineering; NLP
类别
资金
- project 'EmoQuest Investigating the Role of Emotions in Online Question & Answer Sites' - MIUR (Ministero dell'Universita e della Ricerca) under the program Scientific Independence of young Researchers (SIR)
A recent research trend has emerged to identify developers' emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments. Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain. In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering. Furthermore, we offer a reflection on the open challenges, as they emerge from a qualitative analysis of misclassified texts. (1)
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据