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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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Text Mining with R
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LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209586414
ISBN 13: 9786209586415
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Text Mining with R
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209586414
ISBN 13: 9786209586415
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9786209586415
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Text Mining with R: Unlocking Meaning in Unstructured Data
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209586414
ISBN 13: 9786209586415
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Text Mining with R: Unlocking Meaning in Unstructured Data
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Omniscriptum, LAP Lambert Academic Publishing, 2026
ISBN 10: 6209586414
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786209586415
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Text Mining with R: Unlocking Meaning in Unstructured Data
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209586414
ISBN 13: 9786209586415
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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). Seller Inventory # 9786209586415
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Text Mining with R (Paperback)
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ISBN 10: 6209586414
ISBN 13: 9786209586415
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Paperback. Condition: 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. Seller Inventory # 9786209586415
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Text Mining with R: Unlocking Meaning in Unstructured Data
Published by
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209586414
ISBN 13: 9786209586415
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Taschenbuch. Condition: 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. Seller Inventory # 134718651
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Text Mining with R: Unlocking Meaning in Unstructured Data
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LAP LAMBERT Academic Publishing Feb 2026, 2026
ISBN 10: 6209586414
ISBN 13: 9786209586415
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786209586415