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Found 10 papers, 0 papers with code
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study
The study categorized Reddit and X datasets into "Depressive" and "Non-Depressive" segments, translated into Bengali by native speakers with expertise in mental health, resulting in the creation of the Bengali Social Media Depressive Dataset (BSMDD).
Explainable Multimodal Sentiment Analysis on Bengali Memes
Memes have become a distinctive and effective form of communication in the digital era, attracting online communities and cutting across cultural barriers.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Bengali Fake Reviews: A Benchmark Dataset and Detection System
This paper introduces the Bengali Fake Review Detection (BFRD) dataset, the first publicly available dataset for identifying fake reviews in Bengali.
Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks
This paper investigates the potential of semi-supervised Generative Adversarial Networks (GANs) to fine-tune pretrained language models in order to classify Bengali fake reviews from real reviews with a few annotated data.
Spam Review Detection Using Deep Learning
In order to achieve that we have worked with both labeled and unlabeled data and proposed deep learning methods for spam review detection which includes Multi-Layer Perceptron (MLP), Convolutional Neural Network (CNN) and a variant of Recurrent Neural Network (RNN) that is Long Short-Term Memory (LSTM).
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis
Cancer of the brain is deadly and requires careful surgical segmentation.
Bornon: Bengali Image Captioning with Transformer-based Deep learning approach
As a result, we utilized three different Bengali datasets to generate Bengali captions from images using the Transformer model.
An Automated Approach for the Recognition of Bengali License Plates
Automatic Number Plate Recognition (ALPR) is a system for automatically identifying the license plates of any vehicle.
A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
The problem of class imbalance is extensive for focusing on numerous applications in the real world.
Brain Tumor Detection using Convolutional Neural Network
In this paper, we proposed a method to extract brain tumor from 2D Magnetic Resonance brain Images (MRI) by Fuzzy C-Means clustering algorithm which was followed by traditional classifiers and convolutional neural network.
