Machine Learning Techniques for Text

Table of Contents

Preface

1

Introducing Machine Learning for Text

The language phenomenon

The data explosion

The era of AI

Relevant research fields

The machine learning paradigm

Taxonomy of machine learning techniques

Supervised learning

Unsupervised learning

Semi-supervised learning

Reinforcement learning

Visualization of the data

Evaluation of the results

Summary

2

Detecting Spam Emails

Technical requirements

Understanding spam detection

Explaining feature engineering

Extracting word representations

Using label encoding

Using one-hot encoding

Using token count encoding

Using tf-idf encoding

Executing data preprocessing

Tokenizing the input

Removing stop words

Stemming the words

Lemmatizing the words

Performing classification

Getting the data ...