Machine Learning
Prediction of Flood in Bangladesh using k-Nearest Neighbors Algorithm
Aim: Analyze the flood data from database for flood prediction.Abstract: ..
Prediction of Modernized Loan Approval System Based on Machine learning Approach
Aim: To determine the loan approval system using machine learning algorithms.Abstract: Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a major contributing parameter in the financial statements..
Predictive Analytics on Diabetes Data using Machine Learning Techniques
Aim: To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract: Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identifying process of diabetes is the glucose an..
Sentiment Analysis and Emotion Detection on Crypto currency Related Tweets Using GPT2 Model
Aim: The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model, providing a nuanced understanding of public perceptions towards cryptocurrency transactions. This proposed system leverages the capabilities of GPT-2 to predict positive, negative, or neutral emotions..
Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model
Aim: The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with the help of LSTM Long short-term memory.Abstract: The crypto currency market has been developed at a..
The Effect of Fake Reviews on e-Commerce during and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection
Aim: To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.Abstract: The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautio..
Time Series Analysis based Tamilnadu Monsoon Rainfall Prediction using Seasonal ARIMA
Aim: Analyze the rain fall data from database for rain prediction.Abstract: &nbs..
Top-k Dominating Queries on Skyline Groups
Aim The main aim of this paper is to study the problem of secure skyline queries over encrypted data. The skyline query is particularly important for multi-criteria decision making but also presents significant challenges due to its complex computations. Synopsis &n..
Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model
Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find new frie..