Product Helpfulness Detection With Novel Transformer Based BERT Embedding and Class Probability Features

Product Helpfulness Detection With Novel Transformer Based BERT Embedding and Class Probability Features

Nowadays global market products are readily accessible worldwide, and a vast array of reviews across numerous platforms are posted daily in several categories, making it challenging for customers to stay informed about their product interests. To make informed decisions regarding product quality, us...

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Bibliographic Details
Main Authors: Areeba Ishtiaq, Kashif Munir, Ali Raza, Nagwan Abdel Samee, Mona M. Jamjoom, Zahid Ullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Product helpfulness
large language model (LLM)
machine learning
deep learning
text mining
BERT
Online Access:https://ieeexplore.ieee.org/document/10504273/

Internet

https://ieeexplore.ieee.org/document/10504273/

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