Sentence type identification-based product review sentiment analysis using BeDi-DC and Log-Squish CNN

Sentence type identification-based product review sentiment analysis using BeDi-DC and Log-Squish CNN

Abstract People share their comments and reviews on public platforms in advanced social media systems. The customer’s perception of the product is reviewed by analysing the sentiment of product reviews, thus assisting in business decision-making. In most of the prevailing works, the sentence type of...

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Bibliographic Details
Main Authors: Neetesh Kumar Nema, Vivek Shukla, Rohit Miri, Praveen Chouksey, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Machine learning (ML)
Target identification
Word sense disambiguation
Product review analysis
Online Access:https://doi.org/10.1186/s13677-025-00756-7
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https://doi.org/10.1186/s13677-025-00756-7

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