Hybrid CNN LSTM Approach for Sentiment Analysis of Bengali Language Comment on Facebook-Reference-Cited by-同舟云学术

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Hybrid CNN LSTM Approach for Sentiment Analysis of Bengali Language Comment on Facebook

Published:2024-02-23 Issue: Volume:10 Page:1-8
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
Short-container-title:

Author:

Nobel SM Nuruzzaman¹,Swapno S M Masfequier Rahman¹,A C Ramachandra²,Shajeeb Hasibul Hossain¹,Islam Md Babul³,Haque Rezaul⁴

Affiliation:

1. Bangladesh University of Business and Technology,Dept of Computer Science and Engineering,Dhaka,Bangladesh

2. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru

3. UNICAL,Dept. of Computer, Modeling, Electronic, and System Engineering,Rende,Italy

4. East West University,Dept of CSE,Dhaka,Bangladesh,1212

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498636.pdf?arnumber=10498636

Reference30 articles.

1. Sentiment Analysis on Social Media Tweets Using Machine Learning

2. Information under lockdown: A content analysis of government communication strategies on Facebook during the COVID-19 outbreak

3. Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains using Big Data

4. Let’s play on Facebook: using sentiment analysis and social media metrics to measure the success of YouTube gamers’ post types

5. A sentiment analysis model of Agritech startup on Facebook comments using naive Bayes classifier

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