Muhammad Summair Raza: Applied Text Mining

Cover: 9783031519161 | Applied Text Mining | Muhammad Summair Raza (u. a.) | Taschenbuch

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

67,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 2-4 Werktage

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples.
It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, includingmodels for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches.

The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. The book is suitable for both undergraduate and graduate students in computer science and engineering.

Über den Autor

Usman Qamar has over 15 years of experience in data engineering and decision sciences both in academia and industry. He is currently Tenured Professor of Data Sciences at the National University of Sciences and Technology (NUST) Pakistan and director of Knowledge and Data Science Research Centre, a Centre of Excellence at NUST, Pakistan. He has authored nearly 200 peer-reviewed publications and has also received multiple research awards.

Muhammad Summair Raza is currently associated with the Virtual University of Pakistan as an assistant professor. He has published various papers in international-level journals and conferences with a focus on rough set theory. His research interests include feature selection, rough set theory, trend analysis, software design, software architecture, and non-functional requirements.

Inhaltsverzeichnis

Part 1: Text Mining Basics.- 1. Introduction to Text Mining.- 2. Text Processing.- 3. Text Mining Applications.- Part 2: Text Analytics.- 4. Feature Engineering for Text Representations.- 5. Text Classification.- 6. Text Clustering.- 7. Text Summarization and Topic Modeling.- 8. Taxonomy Generation and Dynamic Document Organization.- 9. Visualization Approaches.- Part 3: Deep Learning in Text Mining.- 10. Text Mining Through Deep Learning.- 11. Lexical Analysis and Parsing using Deep Learning.- 12. Machine Translation using Deep Learning.

Erscheinungsjahr:	2024
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xxiii 494 S. 89 s/w Illustr. 22 farbige Illustr. 494 p. 111 illus. 22 illus. in color.
ISBN-13:	9783031519161
ISBN-10:	3031519167
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Raza, Muhammad Summair Qamar, Usman
Hersteller:	Springer Nature Switzerland Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	240 x 168 x 28 mm
Von/Mit:	Muhammad Summair Raza (u. a.)
Erscheinungsdatum:	11.06.2024
Gewicht:	0,863 kg

Ähnliche Produkte