A comparative analysis of text data classification accuracy and speed using neural networks, Bloom filter and naive Bayes

Hryshchenko, Olena; Yaremenko, Vadym

Please use this identifier to cite or link to this item: https://hdl.handle.net/11159/7192

Title:

A comparative analysis of text data classification accuracy and speed using neural networks, Bloom filter and naive Bayes

Journal:

Technology audit and production reserves

Authors:

Hryshchenko, Olena
Yaremenko, Vadym

e-ISSN:

2706-5448

Document Type:

Article

Year of Publication:

2021

Open Content License:

Original URL:

http://journals.uran.ua/tarp/article/download/237767/236652/552203

Persistent Identifier of the first edition:

doi:10.15587/2706-5448.2021.237767

Language:

English (eng)

Citation:

Hryshchenko, Olena/Yaremenko, Vadym (2021). A comparative analysis of text data classification accuracy and speed using neural networks, Bloom filter and naive Bayes. In: Technology audit and production reserves 5 (2/61), S. 6 - 8.
http://journals.uran.ua/tarp/article/download/237767/236652/552203.
doi:10.15587/2706-5448.2021.237767.

Appears in Collections:

Open Access ZBW

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