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Blueprints for Text Analytics Using Python : Machine Learning-Based Solutions for Common Real World (NLP) Applications by Jens Albrecht, Sidharth Ramachandran and Christian Winkler (2021, Trade Paperback)

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This comprehensive textbook offers machine learning-based solutions for common real-world natural language processing (NLP) applications. With 422 pages of in-depth information, Blueprints for Text Analytics Using Python covers topics such as text classification, sentiment analysis, and topic modeling. Written by experts Jens Albrecht, Sidharth Ramachandran, and Christian Winkler, this trade paperback is published by O'Reilly, Incorporated and measures 9.2 inches in length, 7 inches in width, and 0.9 inches in height. It has a weight of 25.2 oz and is written in English. Ideal for those interested in NLP, this book belongs to the categories of textbooks, education and reference, and books and magazines.

About this product

Product Identifiers

PublisherO'reilly Media, Incorporated
ISBN-10149207408X
ISBN-139781492074083
eBay Product ID (ePID)17050378543

Product Key Features

Number of Pages350 Pages
LanguageEnglish
Publication NameBlueprints for Text Analytics Using Python : Machine Learning-Based Solutions for Common Real World (NLP) Applications
Publication Year2021
SubjectData Modeling & Design, General, Databases / Data Mining
TypeTextbook
Subject AreaMathematics, Computers
AuthorJens Albrecht, Sidharth Ramachandran, Christian Winkler
FormatTrade Paperback

Dimensions

Item Height0.9 in
Item Weight25.5 Oz
Item Length9.2 in
Item Width7.7 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN2022-276251
Dewey Edition23
IllustratedYes
Dewey Decimal006.35
SynopsisTurning 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
LC Classification NumberQA76.9.N38

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Blueprints for Text - Paperback, by Albrecht Jens; Ramachandran - New h
item 1 Blueprints for Text - Paperback, by Albrecht Jens; Ramachandran - New h
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions...
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Blueprints for Text Analytics Using..., Winkler, Christ
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BLUEPRINTS FOR TEXT ANALYTICS USING PYTHON: MACHINE By Jens Albrecht & Sidharth
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