Topological Data Analysis in Natural Language Processing -- A Tutorial

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 capabil...

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Main Author: Wlodek Zadrozny
Format: Article
Language:English
Published: LibraryPress@UF 2023-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
Online Access:https://journals.flvc.org/FLAIRS/article/view/133337
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author Wlodek Zadrozny
author_facet Wlodek Zadrozny
author_sort Wlodek Zadrozny
collection DOAJ
description 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.
format Article
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institution OA Journals
issn 2334-0754
2334-0762
language English
publishDate 2023-05-01
publisher LibraryPress@UF
record_format Article
series Proceedings of the International Florida Artificial Intelligence Research Society Conference
spelling doaj-art-7021f8e29eb5410da99f1fd8ea21f6fa2025-08-20T02:25:13ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622023-05-013610.32473/flairs.36.13333769643Topological Data Analysis in Natural Language Processing -- A TutorialWlodek Zadrozny0https://orcid.org/0000-0003-4844-9117UNC CharlotteTopological 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.https://journals.flvc.org/FLAIRS/article/view/133337nlptdanatural language processingtopological data analysistutorial
spellingShingle Wlodek Zadrozny
Topological Data Analysis in Natural Language Processing -- A Tutorial
Proceedings of the International Florida Artificial Intelligence Research Society Conference
nlp
tda
natural language processing
topological data analysis
tutorial
title Topological Data Analysis in Natural Language Processing -- A Tutorial
title_full Topological Data Analysis in Natural Language Processing -- A Tutorial
title_fullStr Topological Data Analysis in Natural Language Processing -- A Tutorial
title_full_unstemmed Topological Data Analysis in Natural Language Processing -- A Tutorial
title_short Topological Data Analysis in Natural Language Processing -- A Tutorial
title_sort topological data analysis in natural language processing a tutorial
topic nlp
tda
natural language processing
topological data analysis
tutorial
url https://journals.flvc.org/FLAIRS/article/view/133337
work_keys_str_mv AT wlodekzadrozny topologicaldataanalysisinnaturallanguageprocessingatutorial