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  • Produktbild: Textual Data Science with R
  • Produktbild: Textual Data Science with R
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Textual Data Science with R

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65,99 € UVP 80,50 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.06.2021

Abbildungen

50 SW-Abb.

Verlag

Taylor & Francis

Seitenzahl

214

Maße (L/B/H)

23,4/15,6/1,2 cm

Gewicht

333 g

Sprache

Englisch

ISBN

978-1-03-209365-9

Beschreibung

Rezension

"Even though textual data science cannot be considered as the youngest sibling of other data science fields, there is still quite a big space to be filled with up-to-date textbooks describing and analyzing various methods and facets of this very interesting topic. In this book, Mónica Bécue-Bertaut tries to fill this gap, giving theoretical and practical instructions about one of the relatively little known, but powerful methods in textual data science-Correspondence Analysis (CA)... Extensive graphical images and visualizations represented by various types of plot and diagram are used throughout the material, which provides an even better aid to the reader
for grasping the main ideas of the topic... separate mention should be drawn to the language used in the book. It is clear, simple, and even fun to read, providing an
understandable way of covering complex topics... Mónica Bécue-Bertaut achieved a good blend of theory and practice in her book, which can be used as a handy resource for students and beginners in data science, as well as for specialists in textual data analysis."
- Gia Jgarkava, ISCB December 2019

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.06.2021

Abbildungen

50 SW-Abb.

Verlag

Taylor & Francis

Seitenzahl

214

Maße (L/B/H)

23,4/15,6/1,2 cm

Gewicht

333 g

Sprache

Englisch

ISBN

978-1-03-209365-9

EU-Ansprechpartner

Taylor & Francis Verlag GmbH
Kaufingerstraße 24
80331 München
DE
GPSR@taylorandfrancis.com

Herstelleradresse

Taylor & Francis Group
5 Howick Place
SW1P 1WG London
UK
GPSR@taylorandfrancis.com

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  • Produktbild: Textual Data Science with R
  • Produktbild: Textual Data Science with R
  • Coding: From Corpus to Statistical Tables. Correspondence Analysis Applied to Textual Data. Clustering in Textual Analysis. Lexical Characteristics of the Parts of a Corpus. Multiple Tables in Textual Analysis. Analysis Strategy through Applications.