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- W2032090561 abstract "Open source software (OSS) projects are supported by communities interacting through software repositories and mailing lists. Thousands of contributors participate in the development of the projects although they rarely meet each other. The result is a huge archived repository with thousands of questions, answers and contributions usually difficult to explore. We propose a tool based on semantic analysis for both performing an automatic knowledge discovery and a categorisation of the content of mailing lists repositories. Semantic analysis is a practical method for extracting and inferring relations of words in passages of discourse, producing measures of relations among words or passages that are well correlated with semantic similarity. The objective of this article is two-fold: (1) to develop a text categorisation tool based on indexing terms and semantic annotation, and (2) to apply the developed tool to extract the main dimensions related to knowledge sharing activities in virtual communities. Debian..." @default.
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- W2032090561 date "2013-06-01" @default.
- W2032090561 modified "2023-10-17" @default.
- W2032090561 title "A text categorisation tool for open source communities based on semantic analysis" @default.
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- W2032090561 doi "https://doi.org/10.1080/0144929x.2011.624634" @default.
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