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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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2023-05-01
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| 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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| _version_ | 1850154696777400320 |
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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 |
| id | doaj-art-7021f8e29eb5410da99f1fd8ea21f6fa |
| 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 |