LLMs improve with detailed code descriptions but remain insufficient to replace human annotators for security-specific qualitative coding.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Emoji-labeled posts from Twitter and GitHub are used to learn sentiment-aware representations that improve classification accuracy on SE benchmark datasets compared to prior methods.
citing papers explorer
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LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments
LLMs improve with detailed code descriptions but remain insufficient to replace human annotators for security-specific qualitative coding.
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SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
Emoji-labeled posts from Twitter and GitHub are used to learn sentiment-aware representations that improve classification accuracy on SE benchmark datasets compared to prior methods.