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Natural Language Processing Recipes

Unlocking Text Data with Machine Learning and Deep Learning using Python

Produktform: E-Buch Text Elektronisches Buch in proprietärem

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis.  starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing.By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient.  Data scientists who want to refresh and learn various concepts of natural language processing through coding exercises.  weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-1-4842-4267-4 / 978-1484242674 / 9781484242674

Verlag: APRESS

Erscheinungsdatum: 29.01.2019

Seiten: 234

Autor(en): Akshay Kulkarni, Adarsha Shivananda

46,99 € inkl. MwSt.
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