Applied text analysis with Python enabling language-aware data products with machine learning
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data source...
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[2018]
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| 520 | |a From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations. Perform document classification and topic modeling. Steer the model selection process with visual diagnostics. Extract key phrases, named entities, and graph structures to reason about data in text. Build a dialog framework to enable chatbots and language-driven interaction. Use Spark to scale processing power and neural networks to scale model complexity.--Provided by publisher. | ||
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| spelling | Bengfort, Benjamin 1984- VerfasserIn aut Applied text analysis with Python enabling language-aware data products with machine learning Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda First edition. Sebastopol, CA O'Reilly Media [2018] ©2018 1 online resource (xviii, 310 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed July 23, 2018) From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations. Perform document classification and topic modeling. Steer the model selection process with visual diagnostics. Extract key phrases, named entities, and graph structures to reason about data in text. Build a dialog framework to enable chatbots and language-driven interaction. Use Spark to scale processing power and neural networks to scale model complexity.--Provided by publisher. Python (Computer program language) Natural language processing (Computer science) Machine learning Natural Language Processing Machine Learning Python (Langage de programmation) Traitement automatique des langues naturelles Apprentissage automatique COMPUTERS ; Programming Languages ; Python Bilbro, Rebecca VerfasserIn aut Ojeda, Tony VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781491963036/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Bengfort, Benjamin 1984- Bilbro, Rebecca Ojeda, Tony Applied text analysis with Python enabling language-aware data products with machine learning Python (Computer program language) Natural language processing (Computer science) Machine learning Natural Language Processing Machine Learning Python (Langage de programmation) Traitement automatique des langues naturelles Apprentissage automatique COMPUTERS ; Programming Languages ; Python |
| title | Applied text analysis with Python enabling language-aware data products with machine learning |
| title_auth | Applied text analysis with Python enabling language-aware data products with machine learning |
| title_exact_search | Applied text analysis with Python enabling language-aware data products with machine learning |
| title_full | Applied text analysis with Python enabling language-aware data products with machine learning Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda |
| title_fullStr | Applied text analysis with Python enabling language-aware data products with machine learning Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda |
| title_full_unstemmed | Applied text analysis with Python enabling language-aware data products with machine learning Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda |
| title_short | Applied text analysis with Python |
| title_sort | applied text analysis with python enabling language aware data products with machine learning |
| title_sub | enabling language-aware data products with machine learning |
| topic | Python (Computer program language) Natural language processing (Computer science) Machine learning Natural Language Processing Machine Learning Python (Langage de programmation) Traitement automatique des langues naturelles Apprentissage automatique COMPUTERS ; Programming Languages ; Python |
| topic_facet | Python (Computer program language) Natural language processing (Computer science) Machine learning Natural Language Processing Machine Learning Python (Langage de programmation) Traitement automatique des langues naturelles Apprentissage automatique COMPUTERS ; Programming Languages ; Python |
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