Sentiment Analysis of Facebook and YouTube Bengali Comments Using LSTM and Bi-LSTM-Reference-Cited by-同舟云学术

Sentiment Analysis of Facebook and YouTube Bengali Comments Using LSTM and Bi-LSTM

Published:2022-10-03 Issue: Volume: Page:
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Container-title:2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Kapali Nolak¹,Tuhin Tariquzzaman¹,Pramanik Anik¹,Rahman Md. Sadekur¹,Noori Sheak Rashed Haider¹

Affiliation:

1. Daffodil International University,Dept. of CSE,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984157/9984211/09984395.pdf?arnumber=9984395

Reference19 articles.

1. A Deep Recurrent Neural Network with BiLSTM model for Sentiment Classification

2. Sentiment Analysis of Bengali Facebook Data Using Classical and Deep Learning Approaches

3. BAN-ABSA: An Aspect-Based Sentiment Analysis Dataset for Bengali and Its Baseline Evaluation;masum;Proceedings of International Joint Conference on Advances in Computational Intelligence,2021

4. Analyzing Performance of Different Machine Learning Approaches With Doc2vec for Classifying Sentiment of Bengali Natural Language

5. Sentiment Polarity Detection in Bengali Tweets Using LSTM Recurrent Neural Networks

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