Description
| Product ID: | 9781032195339 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Chapman & Hall/CRC Data Science Series |
| Title: | Natural Language Processing in the Real World |
| Subtitle: | Text Processing, Analytics, and Classification |
| Authors: | Author: Jyotika Singh |
| Page Count: | 360 |
| Subjects: | Computational and corpus linguistics, Computational linguistics, Literature: history and criticism, Information technology: general topics, Databases, Computer science, Artificial intelligence, Natural language and machine translation, Literature: history & criticism, Information technology: general issues, Databases, Computer science, Artificial intelligence, Natural language & machine translation |
| Description: | Select Guide Rating '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. 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. |
| Imprint Name: | Chapman & Hall/CRC |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-07-03 |
