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• W2009682804 abstract "A recent research trend has emerged to study the role of affect in in the social programmer ecosystem, by applying sentiment analysis to the content available in sites such as GitHub and Stack Overflow. In this paper, we aim at assessing the suitability of a state-of-the-art sentiment analysis tool, already applied in social computing, for detecting affective expressions in Stack Overflow. We also aim at verifying the construct validity of choosing sentiment polarity and strength as an appropriate way to operationalize affective states in empirical studies on Stack Overflow. Finally, we underline the need to overcome the limitations induced by domain-dependent use of lexicon that may produce unreliable results." @default.
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• W2009682804 date "2015-09-01" @default.
• W2009682804 modified "2023-10-11" @default.
• W2009682804 title "The challenges of sentiment detection in the social programmer ecosystem" @default.
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• W2009682804 doi "https://doi.org/10.1145/2804381.2804387" @default.
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