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Blueprints for Text Analysis Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications

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Price in points: 1500 points
9789385889738
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Minimum quantity for "Blueprints for Text Analysis Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications" is 1.

All Indian Reprints of O'Reilly are printed in Grayscale

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. 

This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. 

  • Extract data from APIs and web pages 
  • Prepare textual data for statistical analysis and machine learning 
  • Use machine learning for classification, topic modeling, and summarization 
  • Explain AI models and classification results 
  • Explore and visualize semantic similarities with word embeddings 
  • Identify customer sentiment in product reviews 
  • Create a knowledge graph based on named entities and their relations

Books

Author:
Jens Albrecht
Author 2:
Sidharth Ramachandran
Author 3:
Christian Winkler
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
424
Publication Date:
23/12/2020
Publisher:
Shroff/O'Reilly
Year:
2020

Dimensions

Dimensions (W x H x D):
7 x 9 x .8 inch

Table of Contents (9789385889738_toc.pdf, 188 Kb) [Download]