An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
Gias UddinYann-Gaël GuéhéneucFoutse KhomhChanchal K. RoyPublished in: ACM Trans. Softw. Eng. Methodol. (2022)
Keyphrases
- software engineering
- user friendly
- software engineers
- sentiment analysis
- software developers
- artificial intelligence
- sentiment classification
- automatic detection
- false alarms
- ensemble learning
- software tools
- knowledge engineering
- ensemble methods
- detection rate
- false positives
- software systems
- software development
- natural language processing
- decision trees
- formal methods
- imbalanced data
- database
- software reuse
- reverse engineering
- software projects
- detection algorithm
- object detection
- end users
- learning algorithm
- machine learning
- neural network
- data sets