Word embedding dimensionality reduction using dynamic variance thresholding (DyVaT)-Reference-Cited by-同舟云学术

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Word embedding dimensionality reduction using dynamic variance thresholding (DyVaT)

Published:2022-12 Issue: Volume:208 Page:118157
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Treistman Avraham^ORCID,Mughaz Dror^ORCID,Stulman Ariel^ORCID,Dvir Amit^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Enhancing web service clustering using length feature weight method for service description document vector space representation;Agarwal;Expert Systems with Applications,2020

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4. Kneed · PyPI;Arvai,2021

5. A review of feature selection and its methods;Bachu;Cybernetics and Information Technologies,2019

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