Kulkarni, Akshay
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python
- ISBN 13:
- 9781484273500
- author:
- Kulkarni, Akshay
- format:
- Paperback / softback
- publisher:
- APress
- language:
- English
- Publication Year:
- 2021
- Pages:
- 283
- Dimensions:
- 25.4 x 17.8 x 1.7 centimeters (0
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 2 working days
Description
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python This book provides a comprehensive guide to implementing end-to-end projects using Python, focusing on state-of-the-art algorithms for natural language processing (NLP). You'll learn to efficiently use a range of NLP packages to analyze and process text data, covering topics such as text classification, sentiment analysis, and information retrieval. The book begins with an introduction to text data collection, web scraping, and different types of data sources, before moving on to cleaning and pre-processing text data. You'll explore advanced algorithms for semantic and syntactic analysis, including text normalization, POS tagging, parsing, and more. The second edition covers advanced techniques such as converting text to features using Glove, Elmo, and BERT, as well as an understanding of how transformers work. By the end of this book, you'll have a clear understanding of the challenges faced by different industries and will be able to implement NLP in real-world applications. You'll learn about advanced industrial applications, including solution implementation and leveraging deep learning techniques for complex text generation tasks.
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