Download Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
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Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Download Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
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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 representationsPerform document classification and topic modelingSteer the model selection process with visual diagnosticsExtract key phrases, named entities, and graph structures to reason about data in textBuild a dialog framework to enable chatbots and language-driven interactionUse Spark to scale processing power and neural networks to scale model complexityFile Size=12080 KB. Print Length=332 pages. Simultaneous Device Usage=Unlimited. Publisher=O'Reilly Media; 1 edition (June 11, 2018). Publication Date=June 11, 2018. Sold by=Amazon Digital Services LLC. Language=English. ASIN=B07DNKHJL8. Text-to-Speech=Enabled. X-Ray=Not Enabled. Word Wise=Not Enabled. Lending=Not Enabled. Enhanced Typesetting=Not Enabled. Amazon Best Sellers RankNatural Language ProcessingAlgorithmsData Modeling & Design=#200,804 Paid in Kindle Store (See Top 100 Paid in Kindle Store) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #36 in Books > Computers & Technology > Computer Science > AI & Machine Learning > #39 in Kindle Store > Kindle eBooks > Computers & Technology > Programming > #57 in Kindle Store > Kindle eBooks > Computers & Technology > Computer Science >.
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