Text Analytics with Python

A Practitioner's Guide to Natural Language Processing

Szerző: Dipanjan Sarkar

Nyelv:

Kötés: Puha kötésű

Kiadó: APress

Elérhetőség: Beszállítói készleten

Küldés 10-16 napon belül

13 160 Ft

Leverage Natural Language Processing (NLP) fundamentals in Python and learn how to set up your own r...

Információk a könyvről

Szerző

Dipanjan Sarkar

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2019

oldal

674

EAN

9781484243534

Enbook ID

20634976

Kiadó

APress

Súly

1282

Méretek

253 x 179 x 48

Teljes leírás

Leverage Natural Language Processing (NLP) fundamentals in Python and learn how to set up your own robust environment for performing text analytics. This updated version will show you how to use the latest state-of-the-art frameworks and how to work with text data in Python. You'll explore several new topics, including working with Pythonfor NLP, illustrated with more hands-on examples. There are also new chapters on engineering text data (both traditional and newer deep learning based embedding methods) and deep learning for advanced text analytics and NLP. While the overall structure of the book remains the same, the entire code base, modules, and frameworks will be updated to the latest Python 3.x release. You'll review new and improved methods for evaluating and interpreting classification models, and will look at newer lexicons and methodologies for unsupervised learning. What You'll Learn - Understand NPL and text syntax, semantics and structure - Discover text cleaning and feature engineering - Review text classification and text clustering - Assess text summarization and topic models - Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.

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Text Analytics with Python

A Practitioner's Guide to Natural Language Processing

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