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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2733078680> ?p ?o ?g. }

• W2733078680 abstract "Automated sentiment analysis in software engineering textual artifacts has long been suffering from inaccuracies in those few tools available for the purpose. We conduct an in-depth qualitative study to identify the difficulties responsible for such low accuracy. Majority of the exposed difficulties are then carefully addressed in developing SentiStrength-SE, a tool for improved sentiment analysis especially designed for application in the software engineering domain. Using a benchmark dataset consisting of 5,600 manually annotated JIRA issue comments, we carry out both quantitative and qualitative evaluations of our tool. SentiStrength-SE achieves 73.85% precision and 85% recall, which are significantly higher than a state-of-the-art sentiment analysis tool we compare with." @default.
• W2733078680 created "2017-07-14" @default.
• W2733078680 creator A5031807486 @default.
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• W2733078680 date "2017-05-01" @default.
• W2733078680 modified "2023-09-26" @default.
• W2733078680 title "Leveraging Automated Sentiment Analysis in Software Engineering" @default.
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• W2733078680 doi "https://doi.org/10.1109/msr.2017.9" @default.
• W2733078680 hasPublicationYear "2017" @default.
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