Blueprints for Text Analytics Using Python is popular PDF and ePub book, written by Jens Albrecht in 2020-12-04, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Blueprints for Text Analytics Using Python can be Read Online from any device for your convenience.
Blueprints for Text Analytics Using Python Book PDF Summary
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
Detail Book of Blueprints for Text Analytics Using Python PDF
- Author : Jens Albrecht
- Release : 04 December 2020
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781492074038
- Genre : Computers
- Total Page : 504 pages
- Language : English
- PDF File Size : 14,6 Mb
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