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Text Mining and Visualization | 1:a upplagan
- Danskt band, Engelska, 2020
- Författare: Markus Hofmann, Andrew Chisholm
- Betyg:
567
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Beskrivning
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that readers can follow as part of a step-by-step, reproducible example. The examples used are available on a supplementary website.
Produktinformation
Kategori:
Data & IT
Bandtyp:
Danskt band
Språk:
Engelska
Förlag:
Okänt
Upplaga:
1
Utgiven:
2020-06-30
ISBN:
9780367575205
Sidantal:
348