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Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications Aman Kedia, Mayank Rasu

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Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications Aman Kedia, Mayank Rasu - okladka książki

Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications Aman Kedia, Mayank Rasu - okladka książki

Autorzy:
Aman Kedia, Mayank Rasu
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
316
Dostępne formaty:
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     ePub
     Mobi

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Natural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text. This book caters to the unmet demand for hands-on training of NLP concepts and provides exposure to real-world applications along with a solid theoretical grounding.
This book starts by introducing you to the field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help of practical examples, you’ll learn how to build reasonably sophisticated NLP applications, and cover various methodologies and challenges in deploying NLP applications in the real world. You'll cover key NLP tasks such as text classification, semantic embedding, sentiment analysis, machine translation, and developing a chatbot using machine learning and deep learning techniques. The book will also help you discover how machine learning techniques play a vital role in making your linguistic apps smart. Every chapter is accompanied by examples of real-world applications to help you build impressive NLP applications of your own.
By the end of this NLP book, you’ll be able to work with language data, use machine learning to identify patterns in text, and get acquainted with the advancements in NLP.

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O autorach książki

Aman Kedia is a data enthusiast and lifelong learner. He is an avid believer in Artificial Intelligence (AI) and the algorithms supporting it. He has worked on state-of-the-art problems in Natural Language Processing (NLP), encompassing resume matching and digital assistants, among others. He has worked at Oracle and SAP, trying to solve problems leveraging advancements in AI. He has four published research papers in the domain of AI.
Mayank Rasu is the author of the book Hands-On Natural Language Processing with Python. He has more than 12 years of global experience as a data scientist and quantitative analyst in the investment banking domain. He has worked at the intersection of finance and technology and has developed and deployed AI-based applications in the finance domain, which include sentiment analyzer, robotics process automation, and deep learning-based document reviewers. Mayank is also an educator and has trained/mentored working professionals on applied AI.

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