Natural Language Processing in the Real World
Chapman & Hall/CRC (Verlag)
978-1-032-20703-2 (ISBN)
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Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset.
This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented.
This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.
Jyotika Singh is an accomplished data science expert specializing in Machine Learning and Natural Language Processing (NLP). With a burning passion for sharing knowledge, Jyotika has graced countless stages as a sought-after speaker at prestigious conferences worldwide. Her remarkable aptitude for crafting inventive solutions using NLP and real-world datasets has garnered numerous patents strategically adopted by prestigious tech enterprises. As Director of Data Science at Placemakr and having led the Data Science team at ICX Media, Jyotika's expertise shines through her invaluable contributions to multiple industry verticals generating multi-million dollar revenue using practical application of data science and NLP. Moreover, her research at University of California, Los Angeles (UCLA) has further solidified her profound expertise. Jyotika is revered as the visionary creator of multiple open-source Python libraries, most notably pyAudioProcessing. Beyond her technical accomplishments, Jyotika displays unwavering dedication to promoting diversity in STEM fields, mentoring aspiring talents, and actively engaging in global initiatives. Her exceptional contributions have garnered a multitude of prestigious awards, including her distinction as one of the top 50 Women of Impact in 2023 and her inclusion among the top 100 most influential people in Data 2022 by DataIQ. Additionally, Jyotika has been honored with the Data Science Leadership award in 2022 and the Leadership Excellence in Technology award in 2021, among other noteworthy accolades.
Table of Contents:
List of Figures
List of Tables
Contributors
Preface
Acknowledgements
Chapter 1: NLP Basics
Chapter 2: Data Sources and Extraction
Chapter 3: Data Preprocessing and Transformation
Chapter 4: Data Modeling
Chapter 5: NLP Applications – Active Usage
Chapter 6: NLP Applications – Developing Usage
Chapter 7: Information Extraction and Text Transforming Models
Chapter 8: Text Categorisation and Affinities
Chapter 9: Chatbots
Chapter 10: Customer Review Analysis
Chapter 11: Recommendations and Predictions
Chapter 12: More Real-World Scenarios and Tips
Bibliography
Index
| Erscheint lt. Verlag | 1.8.2025 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Data Science Series |
| Zusatzinfo | 10 Tables, black and white; 75 Line drawings, black and white; 47 Halftones, black and white; 122 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-032-20703-5 / 1032207035 |
| ISBN-13 | 978-1-032-20703-2 / 9781032207032 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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