Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
sách gia công, bìa mềm
Thể loại:Computers - Computer Science
Năm:2021
In lần thứ:1
Ngôn ngữ:english
Trang:420 / 422
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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