AI Rookies Labs Learn Text Analytics and NLP using R (Paperback)

Data Analytics Curriculum

ISBN 10: 1969233176 / ISBN 13: 9781969233173

Published by Data Analytics Curriculum, 2025

About this Item

Paperback. Master text analytics and natural language processing-one lab at a time.This lab-based workbook is your no-fluff, beginner-friendly path to learning text analytics and NLP using real R code. You'll work hands-on with real data and clear examples as you move from tokenization and stopword removal to sentiment analysis, topic modeling, classification, embeddings, and more.Each lab walks you through the entire process-installing packages, running code, understanding output-without assuming any prior programming experience. Whether you're a student, instructor, or data-curious learner, this book helps you build real skills in text mining and natural language processing using R and RStudio.If you want to learn by doing, not just reading, this is your starting point.Extensive resources and supplements are available from the publisher (code, data, slides and more) for teaching and self study. This workbook guides you through hands-on labs using R to master text analytics and NLP. It covers everything from tokenization to sentiment analysis, topic modeling, and builds real skills in text mining without prior programming experience. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781969233173

Bibliographic Details

• Title: AI Rookies Labs Learn Text Analytics and NLP using R (Paperback)
• Publisher: Data Analytics Curriculum
• Publication Date: 2025
• Language: English
• ISBN 10: 1969233176
• ISBN 13: 9781969233173
• Binding: Paperback
• Condition: new

About this title

Synopsis

Master text analytics and natural language processing-one lab at a time.

This lab-based workbook is your no-fluff, beginner-friendly path to learning text analytics and NLP using real R code. You'll work hands-on with real data and clear examples as you move from tokenization and stopword removal to sentiment analysis, topic modeling, classification, embeddings, and more.

Each lab walks you through the entire process-installing packages, running code, understanding output-without assuming any prior programming experience. Whether you're a student, instructor, or data-curious learner, this book helps you build real skills in text mining and natural language processing using R and RStudio.

If you want to learn by doing, not just reading, this is your starting point.

Extensive resources and supplements are available from the publisher (code, data, slides and more) for teaching and self study.