Leveraging the meta-embedding for text classification in a resource-constrained language-Reference-Cited by-同舟云学术

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Leveraging the meta-embedding for text classification in a resource-constrained language

Published:2023-09 Issue: Volume:124 Page:106586
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hossain Md. Rajib,Hoque Mohammed Moshiul^ORCID,Siddique Nazmul^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference49 articles.

1. SnTiEmd: Sentiment specific embedding model generation and evaluation for a resource constraint language;Afroze,2023

2. BARD: Bangla article classification using a new comprehensive dataset;Alam,2018

3. INLTK: Natural language toolkit for indic languages;Arora,2020

4. Deep generalized canonical correlation analysis;Benton,2019

5. Enriching word vectors with subword information;Bojanowski;Tran. ACL,2017

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