Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews

Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews

Sentiment Analysis (SA) is a well-known and emerging research field in the area of Natural Language Processing (NLP) and text classification. Feature engineering is considered to be one of the major steps in the Machine Learning (ML) pipeline with effective feature extraction playing a vital role in...

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Bibliographic Details
Main Authors: B. Priya Kamath, M. Geetha, U. Dinesh Acharya, Dipesh Singh, Ayush Rao, Shwetha Rai, Roopashri Shetty
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
BERT
classification
feature extraction
machine learning
sentiment analysis
Word embeddings
Online Access:https://ieeexplore.ieee.org/document/10858136/
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