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Text Mining with Machine Learning and Python
Text Mining with Machine Learning and Python

Text Mining with Machine Learning and Python: Transform text data into actionable insights

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Profile Icon Thomas Dehaene
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€18.99 per month
Video Apr 2018 2hrs 26mins 1st Edition
Video
€106.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Thomas Dehaene
Arrow right icon
€18.99 per month
Video Apr 2018 2hrs 26mins 1st Edition
Video
€106.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€106.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • ? Pragmatic approach with working examples
  • ? Work with real-life data
  • ? Work with modern and production-ready tools
  • ? Cover the most relevant topics to get you started

Description

Text is one of the most actively researched and widely spread types of data in the Data Science field today. New advances in machine learning and deep learning techniques now make it possible to build fantastic data products on text sources. New exciting text data sources pop up all the time. You'll build your own toolbox of know-how, packages, and working code snippets so you can perform your own text mining analyses. You'll start by understanding the fundamentals of modern text mining and move on to some exciting processes involved in it. You'll learn how machine learning is used to extract meaningful information from text and the different processes involved in it. You will learn to read and process text features. Then you'll learn how to extract information from text and work on pre-trained models, while also delving into text classification, and entity extraction and classification. You will explore the process of word embedding by working on Skip-grams, CBOW, and X2Vec with some additional and important text mining processes. By the end of the course, you will have learned and understood the various aspects of text mining with ML and the important processes involved in it, and will have begun your journey as an effective text miner. The code bundle for this video course is available at https://github.com/PacktPublishing/Text-Mining-with-Machine-Learning-and-Python

Who is this book for?

This course targets Data Scientists who need to obtain a basic set of skills in the field of text analysis, or a Citizen Data Scientist who wants to get up and running with text mining. Since this counts as a specialization course, basic knowledge of Python, Machine Learning, and Data Science are required.

What you will learn

  • 1. Refine and clean your text
  • 2. Extract important data from text
  • 3. Classify text into types
  • 4. Apply modern ML and DL techniques on the text
  • 5. Work on pre-trained models
  • 6. Important text mining processes
  • 7. Analyze text in the best and most effective way

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 30, 2018
Length: 2hrs 26mins
Edition : 1st
Language : English
ISBN-13 : 9781789137361
Category :
Languages :
Concepts :
Tools :

What do you get with a Packt Subscription?

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
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Product Details

Publication date : Apr 30, 2018
Length: 2hrs 26mins
Edition : 1st
Language : English
ISBN-13 : 9781789137361
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total 139.98
Text Mining with Machine Learning and Python
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Python Machine Learning, Second Edition
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Table of Contents

6 Chapters
Getting Started with Text Mining Chevron down icon Chevron up icon
Reading and Processing Text Features Chevron down icon Chevron up icon
Extracting from Text Chevron down icon Chevron up icon
Classification of Text Chevron down icon Chevron up icon
Word Embeddings Chevron down icon Chevron up icon
Other ML Topics with Text Chevron down icon Chevron up icon
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