Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Hybrid HAN‐CNN with aspect term extraction for sentiment analysis using product review
Hybrid HAN‐CNN with aspect term extraction for sentiment analysis using product review
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
P. C. D. Kalaivaani
,
K. Sathyarajasekaran
,
N. Krishnamoorthy
,
T. Kumaravel
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Computational Intelligence
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
A semantically enhanced dual encoder for aspect sentiment triplet extraction
by: Jiang, Baoxing, et al.
Published: (2023)
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
by: Wang, Xuechun, et al.
Published: (2024)
Evaluation of data inconsistency for multi-modal sentiment analysis
by: Wang, Yufei, et al.
Published: (2024)
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
by: Wang, Chen, et al.
Published: (2024)
Large language model for Bible sentiment analysis: Sermon on the Mount
by: Vora, Mahek, et al.
Published: (2024)