A Benchmark Study on Sentiment Analysis for Software Engineering Research

March 17, 2018 Β· Declared Dead Β· πŸ› IEEE Working Conference on Mining Software Repositories

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Nicole Novielli, Daniela Girardi, Filippo Lanubile arXiv ID 1803.06525 Category cs.SE: Software Engineering Citations 114 Venue IEEE Working Conference on Mining Software Repositories Last Checked 4 months ago
Abstract
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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Software Engineering

Died the same way β€” πŸ‘» Ghosted