Applied Text Mining

Discover the world of text mining with Applied Text Mining by Usman Qamar, a comprehensive textbook published by Springer International Publishing AG in 2024. Spanning 494 pages, this engaging resource delves into the essential concepts, theories, and practical implementations of text mining and natural language processing (NLP).

The book is structured into five informative chapters in Part 2, where you will explore core concepts of text analytics, including feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization. Whether you are a student or a professional looking to deepen your understanding of text analytics, this textbook is an invaluable addition to your library.

Enhance your knowledge and skills in text mining with Applied Text Mining, your guide to unlocking the potential of textual data.