In the age of information overload, text is everywhere—from tweets and product reviews to scientific publications and policy documents. Text Mining with R is a comprehensive, modern, and hands-on guide for exploring, analyzing, and modeling unstructured textual data using the R programming language. Written in clear, narrative-driven prose, this book demystifies the process of extracting meaning from text through a blend of theory, implementation, and practical case studies.Built on the foundations of the tidyverse, this book introduces readers to the power of the tidytext, textrecipes, quanteda, text2vec, and stm packages, as well as supervised learning techniques using tidymodels. From simple sentiment analysis to topic modeling, word embeddings, and building multilingual NLP pipelines, the book guides both beginners and advanced users through essential concepts in natural language processing (NLP).
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OlaOluwa S. Yaya - University of Ibadan.Muminu O. Adamu - University of Lagos.Mary M. Adepoju - Ladoke Akintola University of Technology,Ogbomosho.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the age of information overload, text is everywhere-from tweets and product reviews to scientific publications and policy documents. Text Mining with R is a comprehensive, modern, and hands-on guide for exploring, analyzing, and modeling unstructured textual data using the R programming language. Written in clear, narrative-driven prose, this book demystifies the process of extracting meaning from text through a blend of theory, implementation, and practical case studies.Built on the foundations of the tidyverse, this book introduces readers to the power of the tidytext, textrecipes, quanteda, text2vec, and stm packages, as well as supervised learning techniques using tidymodels. From simple sentiment analysis to topic modeling, word embeddings, and building multilingual NLP pipelines, the book guides both beginners and advanced users through essential concepts in natural language processing (NLP). 224 pp. Englisch. Bestandsnummer des Verkäufers 9786209586415
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Paperback. Zustand: new. Paperback. In the age of information overload, text is everywhere-from tweets and product reviews to scientific publications and policy documents. Text Mining with R is a comprehensive, modern, and hands-on guide for exploring, analyzing, and modeling unstructured textual data using the R programming language. Written in clear, narrative-driven prose, this book demystifies the process of extracting meaning from text through a blend of theory, implementation, and practical case studies.Built on the foundations of the tidyverse, this book introduces readers to the power of the tidytext, textrecipes, quanteda, text2vec, and stm packages, as well as supervised learning techniques using tidymodels. From simple sentiment analysis to topic modeling, word embeddings, and building multilingual NLP pipelines, the book guides both beginners and advanced users through essential concepts in natural language processing (NLP). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209586415
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Taschenbuch. Zustand: Neu. Text Mining with R: Unlocking Meaning in Unstructured Data | Olaoluwa S. Yaya (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209586415 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134718651
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the age of information overload, text is everywhere-from tweets and product reviews to scientific publications and policy documents. Text Mining with R is a comprehensive, modern, and hands-on guide for exploring, analyzing, and modeling unstructured textual data using the R programming language. Written in clear, narrative-driven prose, this book demystifies the process of extracting meaning from text through a blend of theory, implementation, and practical case studies.Built on the foundations of the tidyverse, this book introduces readers to the power of the tidytext, textrecipes, quanteda, text2vec, and stm packages, as well as supervised learning techniques using tidymodels. From simple sentiment analysis to topic modeling, word embeddings, and building multilingual NLP pipelines, the book guides both beginners and advanced users through essential concepts in natural language processing (NLP).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. Bestandsnummer des Verkäufers 9786209586415
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