EAN: 9781492074083

BLUEPRINTS FOR TEXT ANALYTICS USING PYTHON - JE...

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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