A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter

ASLAN SERPİL,YILDIRIM MUHAMMED

A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter

YAYIN ID:

9574846

KAPSAM AD:

Uluslararası

HAKEM TUR AD:

Hakemli

ENDEKS:

SCI-Expanded

MAKALE ADI:

A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter

YAZAR ADI:

ASLAN SERPİL,YILDIRIM MUHAMMED

DERGI ADI:

PeerJ Computer Science

YAYIN DILI ADI:

İngilizce

AY:

YIL:

2025

CILT:

SAYI:

ILK SAYFA:

SON SAYFA:

ISSN:

2376-5992

ERISIM TURU AD:

Basılı+Elektronik

ALAN BILGISI:

Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Büyük Veri>Görüntü İşleme

YAZAR ID:

8642382

GUNCELLEME TARIHI:

2025-05-15 23:34:56

MAKALE TURU AD:

Özgün Makale

ERISIM LINKI:

https://doi.org/10.7717/peerj-cs.2881