Hybrid Deep Neural Networks for Improved Sentiment Analysis in Social Media-Reference-Cited by-同舟云学术

Hybrid Deep Neural Networks for Improved Sentiment Analysis in Social Media

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC)
language:
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Author:

Abdul Ameer Sabah Auda¹,Khalid Raed²,Al Mansor Ali H. O.³,Singh Pardeep⁴

Affiliation:

1. Ahl Al Bayt University,Kerbala,Iraq

2. Medical technical college, Al-Farahidi University,Baghdad,Iraq

3. Al Zahrawi University College,Department of Optical Techniques,Karbala,Iraq

4. Graphic Era Hill University,Deptt. of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10176330/10176362/10176880.pdf?arnumber=10176880

Reference27 articles.

1. A review of affective computing: From unimodal analysis to multimodal fusion

2. Application of deep learning in sentiment analysis: A comparative study;liu;Proceedings of the 2019 IEEE International Conference on Knowledge Engineering and Applications (ICKEA),0

3. Sentiment analysis using machine learning techniques: A review;alsuhaibani;Journal of King Saud University-Computer and Information Sciences,2020

4. Machine Learning for Internet of Things

5. Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method

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