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


Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications 1st Edition
By 作者:Jens Albrecht (Author), Sidharth Ramachandran (Author), Christian Winkler (Author)
pages 页数: 424 pages
ISBN-10 : 149207408X
ISBN-13 : 9781492074083
Dimensions : 7 x 0.86 x 9.19 inches
Publisher Finelybook 出版社 : O'Reilly Media; 1st edition (January 5, 2021)
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
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

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