A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning

A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning

For natural language processing (NLP), sentiment analysis (SA) is crucial since it helps to understand users' feelings and opinions in a variety of contexts. Even though Deep Learning (DL) techniques are becoming more popular in SA, effective model optimization can be difficult because they fre...

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Bibliographic Details
Main Authors: Amit Purohit, Pushpinder Singh Patheja
Format: Article
Language:English
Published: University of Zagreb, Faculty of organization and informatics 2024-01-01
Series:Journal of Information and Organizational Sciences
Subjects:
Sentiment analysis
tokenization
Embedding
Convolution neural network (CNN)
Bidirectional Long Short-Term Memory (BiLSTM)
Online Access:https://hrcak.srce.hr/file/472072

Internet

https://hrcak.srce.hr/file/472072

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