Rate this book
What to read after Blueprints for Text Analytics Using Python?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Blueprints for Text Analytics Using Python" by Christian Winkler! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
Blueprints for Text Analytics Using Python
Christian Winkler , Jens Albrecht , Sidharth Ramachandran
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
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Blueprints for Text Analytics Using Python" by Christian Winkler? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
