A comparison of software engineering domain specific sentiment analysis tools
2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)(2018)
摘要
Sentiment Analysis (SA) in software engineering (SE) text has drawn immense interests recently. The poor performance of general-purpose SA tools, when operated on SE text, has led to recent emergence of domain-specific SA tools especially designed for SE text. However, these domain-specific tools were tested on single dataset and their performances were compared mainly against general-purpose tools. Thus, two things remain unclear: (i) how well these tools really work on other datasets, and (ii) which tool to choose in which context. To address these concerns, we operate three recent domain-specific SA tools on three separate datasets. Using standard accuracy measurement metrics, we compute and compare their accuracies in the detection of sentiments in SE text.
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关键词
immense interests,poor performance,SE text,domain-specific tools,general-purpose tools,software engineering domain specific sentiment analysis tools,software engineering text,SA
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