Bang-lish sentiment classification using deep learning

Bang-lish sentiment classification using deep learning

This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Saleheen, Abrar, Siam, Saleh Ahmed, Akter, Sanjeda, Ghosh, Akash, Ahona, Adiba Anbar
Beste egile batzuk:	Shakil, Arif
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Sentiment classification Spell corrector Hybrid model Convolutional Neural Network Gated recurrent unit Machine learning Cognitive learning theory (Deep learning)
Sarrera elektronikoa:	http://hdl.handle.net/10361/19372

Antzeko izenburuak

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Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
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Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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