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Text Mining with Machine Learning and Python

You're reading from Text Mining with Machine Learning and Python Transform text data into actionable insights

Product type Video

Published in Apr 2018

Publisher Packt

ISBN-13 9781789137361

Length 2hrs 26mins

Edition 1st Edition

Languages

Python

Tools

NLTK

Concepts

Data Mining

Author (1):

Thomas Dehaene

View More author details

Table of Contents (6) Chapters

1. Getting Started with Text Mining FREE CHAPTER

2. Reading and Processing Text Features

3. Extracting from Text

4. Classification of Text

5. Word Embeddings

6. Other ML Topics with Text

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Authors (1)

Thomas Dehaene

Thomas Dehaene

Thomas Dehaene is a Data Scientist at FoodPairing, a Belgium-based Food Technology scale-up that uses advanced concepts in Machine Learning, Natural Language Processing, and AI in general to capture meaning and trends from food-related media. He obtained his Master of Science degree in Industrial Engineering and Operations Research at Ghent University, before moving his career into Data Analytics and Data Science, in which he has been active for the past 5 years. In addition to his day job, Thomas is also active in numerous Data Science-related activities such as Hackathons, Kaggle competitions, Meetups, and citizen Data Science projects.

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