Book Image

Machine Learning Techniques for Text

By : Nikos Tsourakis
Book Image

Machine Learning Techniques for Text

By: Nikos Tsourakis

Overview of this book

With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus disproportionately on Python code. A good metaphor this work builds upon is the relationship between an experienced craftsperson and their trainee. Based on the current problem, the former picks a tool from the toolbox, explains its utility, and puts it into action. This approach will help you to identify at least one practical use for each method or technique presented. The content unfolds in ten chapters, each discussing one specific case study. For this reason, the book is solution-oriented. It's accompanied by Python code in the form of Jupyter notebooks to help you obtain hands-on experience. A recurring pattern in the chapters of this book is helping you get some intuition on the data and then implement and contrast various solutions. By the end of this book, you'll be able to understand and apply various techniques with Python for text preprocessing, text representation, dimensionality reduction, machine learning, language modeling, visualization, and evaluation.
Table of Contents (13 chapters)

The language phenomenon

Human language is a structured communication system based on grammar and vocabulary. Although other animals can incorporate some form of communication, human language has a distinctive feature; it is compositional. We can combine or recombine sets of words and create new sentences with little effort. With the odd exception of the waggle dance of honeybees for sharing information about the direction and distance to patches of flowers, no other animal communication system puts messages together like this. Human language is also referential in that we can refer to people, objects, or situations that occurred in the past or could occur in the future. Language’s ability to transmit information about things that aren’t physically or temporally present is unique. Another fascinating characteristic is that it is modality-independent. A spoken language, for instance, uses the auditive modality for communication, while the Braille system used by visually...