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Blueprints Text Analytics Using by Albrecht Jens (40 results)
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications
Published by O'Reilly Media (edition 1), 2021
ISBN 10: 149207408X ISBN 13: 9781492074083
Language: English
Paperback. Condition: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (Nlp) Applications (Paperback or Softback)
Published by O'Reilly Media 12/29/2020, 2020
ISBN 10: 149207408X ISBN 13: 9781492074083
Language: English
Paperback or Softback. Condition: New. Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (Nlp) Applications 1.5. Book.
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Paperback. Condition: New. 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 pagesPrepare textual data for statistical analysis and machine learningUse machine learning for classification, topic modeling, and summarizationExplain AI models and classification resultsExplore and visualize semantic similarities with word embeddingsIdentify customer sentiment in product reviewsCreate a knowledge graph based on named entities and their relations.
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Blueprints for Text Analytics Using Python : Machine Learning-Based Solutions for Common Real World (NLP) Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 48.40
Convert currencyUS$ 20.34 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Blueprints for Text Analytics using Python (Paperback)
Published by O'Reilly Media, Sebastopol, 2020
ISBN 10: 149207408X ISBN 13: 9781492074083
Language: English
Paperback. Condition: new. Paperback. Turning text into valuable information is essential for many businesses looking to gain a competitive advantage. There have many improvements in natural language processing and users have a lot of options when choosing to work on a problem. However, it's not always clear which NLP tools or libraries would work for a business use--or which techniques you should use and in what order. This practical book provides theoretical background and real-world case studies with detailed code examples to help developers and data scientists obtain insight from text online. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler use blueprints for text-related problems that apply state-of-the-art machine learning methods in Python. If you have a fundamental understanding of statistics and machine learning along with basic programming experience in Python, you're ready to get started. You'll learn how to: Crawl and clean then explore and visualize textual data in different formatsPreprocess and vectorize text for machine learningApply methods for classification, topic analysis, summarization, and knowledge extractionUse semantic word embeddings and deep learning approaches for complex problemsWork with Python NLP libraries like spaCy, NLTK, and Gensim in combination with scikit-learn, Pandas, and PyTorch 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Blueprints for Text Analytics Using Python : Machine Learning-Based Solutions for Common Real World (NLP) Applications
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications
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Blueprints for Text Analytics using Python: Machine Learning Based Solutions for Common Real World (NLP) Applications
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Blueprints for Text Analytics using Python: Machine Learning Based Solutions for Common Real World (NLP) Applications
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Blueprints for Text Analytics Using Python : Machine Learning-Based Solutions for Common Real World (NLP) Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Blueprints for Text Analytics using Python
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Add to basketPaperback. Condition: New. 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 pagesPrepare textual data for statistical analysis and machine learningUse machine learning for classification, topic modeling, and summarizationExplain AI models and classification resultsExplore and visualize semantic similarities with word embeddingsIdentify customer sentiment in product reviewsCreate a knowledge graph based on named entities and their relations.
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Condition: New. pp. 350.
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Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
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