{"product_id":"blueprints-for-text-analytics-using-python-machine-learning-based-solutions-for-common-real-world-nlp-applications","title":"Blueprints for Text Analytics using Python","description":"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.\n\nThis 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.\n\nExtract data from APIs and web pages\nPrepare textual data for statistical analysis and machine learning\nUse machine learning for classification, topic modeling, and summarization\nExplain AI models and classification results\nExplore and visualize semantic similarities with word embeddings\nIdentify customer sentiment in product reviews\nCreate a knowledge graph based on named entities and their relations","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":54205565993304,"sku":null,"price":76.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781492074083.jpg?v=1779417960","url":"https:\/\/agendabookshop.com\/products\/blueprints-for-text-analytics-using-python-machine-learning-based-solutions-for-common-real-world-nlp-applications","provider":"Agenda Bookshop","version":"1.0","type":"link"}