Topic modeling and text classification; Лингвистические и культурологические аспекты современного инженерного образования
| Parent link: | Лингвистические и культурологические аспекты современного инженерного образования.— 2023.— С. 285-290 |
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| Egile nagusia: | |
| Erakunde egilea: | |
| Beste egile batzuk: | |
| Gaia: | Natural language processing (NLP) is a part of machine learning and deep learning that works with texts. Topic modeling is one of NLP methods that represents a document
collection. This progressive way of text processing can be used by linguists in their work. This article contains an example of topic modeling implementation. The most popular
methods were applied to extract 5 topics from document collection Текстовый файл |
| Hizkuntza: | ingelesa |
| Argitaratua: |
2023
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| Gaiak: | |
| Sarrera elektronikoa: | http://earchive.tpu.ru/handle/11683/77706 |
| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=671747 |
| Gaia: | Natural language processing (NLP) is a part of machine learning and deep learning that works with texts. Topic modeling is one of NLP methods that represents a document
collection. This progressive way of text processing can be used by linguists in their work. This article contains an example of topic modeling implementation. The most popular
methods were applied to extract 5 topics from document collection Текстовый файл |
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