Download the fantastic book titled Blueprints for Text Analytics Using Python written by Jens Albrecht, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Blueprints for Text Analytics Using Python", which was released on 04 December 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Blueprints for Text Analytics Using Python by Jens Albrecht PDF
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 About Blueprints for Text Analytics Using Python PDF
- Author : Jens Albrecht
- Publisher : O'Reilly Media
- Genre : Computers
- Total Pages : 422 pages
- ISBN : 1492074055
- Release Date : 04 December 2020
- PDF File Size : 9,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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