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1 event found
Organiser: Antonio Zinilli, Research I...
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Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)
3 - 5 February 2025
Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://instats.org/seminar/text-mining-in-action-tools-and-techniques-using--2991?utm_source=dresa https://dresa.org.au/events/text-mining-in-action-tools-and-techniques-using-python-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides a comprehensive exploration of text mining techniques using Python, tailored for academic researchers seeking to analyze large textual datasets effectively. Participants will gain hands-on experience with Python libraries and methodologies for natural language processing, sentiment analysis, topic modeling, text classification, and more, enhancing their data analysis capabilities across various disciplines. 2025-02-03 21:00:00 UTC 2025-02-05 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
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Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)
3 - 5 February 2025
Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://instats.org/seminar/text-mining-in-action-tools-and-techniques-using--2991?utm_source=dresa https://dresa.org.au/events/text-mining-in-action-tools-and-techniques-using-python-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides a comprehensive exploration of text mining techniques using Python, tailored for academic researchers seeking to analyze large textual datasets effectively. Participants will gain hands-on experience with Python libraries and methodologies for natural language processing, sentiment analysis, topic modeling, text classification, and more, enhancing their data analysis capabilities across various disciplines. 2025-02-03 21:00:00 UTC 2025-02-05 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
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