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.

Bibliografiset tiedot
Päätekijät:	Saleheen, Abrar, Siam, Saleh Ahmed, Akter, Sanjeda, Ghosh, Akash, Ahona, Adiba Anbar
Muut tekijät:	Shakil, Arif
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	Sentiment classification Spell corrector Hybrid model Convolutional Neural Network Gated recurrent unit Machine learning Cognitive learning theory (Deep learning)
Linkit:	http://hdl.handle.net/10361/19372

Samankaltaisia teoksia

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Sentiment classification on Bengali food and restaurant reviews
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A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
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Embedded system based bangla intelligent social virtual robot with sentiment analysis
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Sentimental analysis on political speeches
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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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An effective machine learning approach for sentiment analysis of restaurant reviews
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Julkaistu: (2018)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
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Sentiment analysis in Bengali Text using NLP
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Human sentiment analysis using natural language processing
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Stock Market Price movement prediction using RNN and Point-weight Sentiment
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Share market forecasting with LSTM neural network and sentimental trend prediction
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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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Visual object classification from fMRI data
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Diabetic retinopathy detection and classification by using deep learning
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Intracranial hemorrhage detection using CNN-LSTM fusion model
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Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
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Cancer classification using deep learning from medical image data
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