Writing scientific papers about data science projects
summary
Gives a concrete four-step writing workflow—competence, course, composition, content—and shows how bibliometric analysis plus text mining on Web of Science (VOSviewer) produced seven topic clusters (deep learning, IoT, feature extraction, social media, etc.). Describes a case study (industry 4.0 job ad text mining) that took about 2.5 years, three-month drafting phases, became a 20-page top-journal paper and attracted citations. Recommends tools: bibliometrics, VOSviewer, Zotero, Turnitin, and practical targeting of 2–3 journals or IEEE conferences as outlets.
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chapters (5)
- 0:00Start
- 6:39Why write scientific articles?
- 9:01How to write a scientific paper in data science?
- 9:29Competence: Ask a relevant question
- 11:15Bibliometric analysis
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