Book Image

Text Mining with Machine Learning and Python [Video]

By : Thomas Dehaene
Book Image

Text Mining with Machine Learning and Python [Video]

By: Thomas Dehaene

Overview of this book

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
Table of Contents (6 chapters)
Chapter 1
Getting Started with Text Mining
Content Locked
Section 3
Exploring Your Text Mining Toolbox
We do not yet have an overview of the tools to be used during this course, by laying them out we hopefully make this clear. - Explore general tools, such as programming language and IDE - Discover data science tools - Find out the NLP and text tools