Topological Data Analysis in Natural Language Processing -- A Tutorial

Abstract

Topological Data Analysis (TDA) introduces methods that capture the underlying structure of shapes in data.
Within the last two decades, TDA has been mostly examined in unsupervised machine learning tasks. TDA
has been often considered an alternative to the conventional algorithms due to its capability to deal with highdimensional
data. in different tasks including but not limited to clustering, This tutorial will focus on applications of topological data analysis to text data.