Sentiment Analysis Using Learning-based Approaches: A Comparative Study
Author:
Affiliation:
1. Multimedia University,Faculty of Information Science and Technology,Melaka,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10262402/10262408/10262604.pdf?arnumber=10262604
Reference20 articles.
1. Sentiment Analysis of Twitter Data Using TF-IDF and Machine Learning Techniques
2. Sentiment Analysis on Twitter Data Using Deep Learning approach
3. Sentiment analysis on reviews of e-commerce sites using machine learning algorithms;hossain;2022 International Conference on Innovations in Science Engineering and Technology (ICISET),2021
4. Twitter sentiment analysis using Machine Learning and Hadoop: A comparative study
5. RoBERTa: A robustly optimized BERT pretraining approach;liu,2019
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1. Investigation of Classification Model for Text-Based Sentiment Analysis;2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC);2024-01-08
2. MPNet-GRUs: Sentiment Analysis With Masked and Permuted Pre-Training for Language Understanding and Gated Recurrent Units;IEEE Access;2024
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