Text Data Mining: Theory and Methods

TL;DR

This paper introduces fundamental theories and methods of text data mining, highlighting current techniques, challenges, and providing a basic tutorial for newcomers to the field.

Contribution

It offers an overview of key methodologies in text data mining and discusses unresolved challenges, serving as an introductory resource for researchers.

Findings

Overview of current text mining techniques

Discussion of open challenges in the field

Basic tutorial on key methods

Abstract

This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current methodologies that are employed within this discipline area while at the same time making the reader aware of some of the interesting challenges that remain to be solved within the area. Finally, the articles serves as a very rudimentary tutorial on some of techniques while also providing the reader with a list of references for additional study.