BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce
Abstract Sentiment analysis plays an important role in understanding employee feedback and improving workplace culture. By leveraging NLP techniques to analyze this feedback accurately, organizations can pinpoint specific areas that need improvement, address employee concerns, and foster a positive...
Saved in:
Main Authors: | Muhammad Rizwan Rashid Rana, Asif Nawaz, Saif Ur Rehman, Muhammad Ali Abid, Mubariz Garayevi, Jana Kajanová |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-02-01
|
Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44196-025-00747-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of User Expressions on Social Media Using LSTM and GRU Models
by: I Gede Putra Mas Yusadara, et al.
Published: (2025-01-01) -
Sentimentally enhanced conversation recommender system
by: Fengjin Liu, et al.
Published: (2025-01-01) -
A systematic assessment of sentiment analysis models on iraqi dialect-based texts
by: Hafedh Hameed Hussein, et al.
Published: (2025-12-01) -
Twitter Sentiment Analysis on Worldwide COVID-19 Outbreaks
by: Kamaran H. Manguri, et al.
Published: (2020-05-01) -
A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
by: Dalal Alqusair, et al.
Published: (2025-01-01)