Multi-Class Sentiment Classification using Feature Selection and Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Multi-Class Sentiment Classification using Feature Selection and Machine Learning Algorithms

Published:2023-11-24 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
language:
Short-container-title:

Author:

Hussein A. H. A.¹,Habelalmateen Mohammed I.²,Ravindran Gobinath³,Malsoru V⁴,Rajalakshmi J.⁵

Affiliation:

1. Ahl Al Bayt University,College of Pharmacy,Karbala,Iraq

2. The Islamic university,Najaf,Iraq

3. SR University,Department of Civil Engineering,Warangal,India

4. CMR Technical Campus Kandlakoya,Dept. of IT,Hyderabad,India

5. Velalar college of Engineering and Technology,Department of biomedical Engineering,Erode,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420831/10420858/10421075.pdf?arnumber=10421075

Reference15 articles.

1. Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning

2. Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model

3. Joint Reduction of Sidelobe and PMEPR in Multicarrier Radar Signal

4. A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis

5. A hybrid optimization algorithm using BiLSTM structure for sentiment analysis

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