Diabetes Disease Prediction Using Machine Learning Algorithms IEEE BASE PAPER ABSTRACT: This paper deals with the prediction of Diabetes Disease by performing an analysis of five supervised machine learning algorithms, i.e. K-Nearest Neighbors, Naive Bayes, Decision Tree Classifier, Random Forest …
Detection of Cyberbullying on Social Media Using Machine learning IEEE BASE PAPER ABSTRACT: Cyberbullying is a major problem encountered on internet that affects teenagers and also adults. It has lead to mishappenings like suicide and depression. Regulation of content on …
Detecting Fake Reviews Using Multidimensional Representations With Fine-Grained Aspects Plan IEEE BASE PAPER ABSTRACT: Due to the rapid growth of network data, the authenticity and reliability of network information have become increasingly important and have presented challenges. Most of the …
Crop Recommender System Using Machine Learning Approach IEEE BASE PAPER ABSTRACT: Agriculture and its allied sectors are undoubtedly the largest providers of livelihoods in rural India. The agriculture sector is also a significant contributor factor to the country’s Gross Domestic …
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis IEEE BASE PAPER ABSTRACT: Social media (and the world at large) have been awash with news of the COVID-19 pandemic. With the passage of time, news and awareness about …
Chronic Kidney Disease Stage Identification in HIV Infected Patients using Machine Learning IEEE BASE PAPER ABSTRACT: Chronic Kidney Disease (CKD) is one of worldwide medical challenges with high morbidity and death rate. Since there is no symptom during the early …
An Efficient Spam Detection Technique for IoT Devices using Machine Learning IEEE BASE PAEPR ABSTRACT: The Internet of Things (IoT) is a group of millions of devices having sensors and actuators linked over wired or wireless channel for data transmission. …
Agricultural Crop Recommendations based on Productivity and Season IEEE BASE PAPER ABSTRACT: As a coastal state, Tamil Nadu faces uncertainty in agriculture which decreases its production. With more population and area, more productivity should be achieved but it cannot be …
A Systematic Review of Predicting Elections Based on Social Media Data: Research Challenges and Future Directions IEEE BASE PAPER ABSTRACT: The way politicians communicate with the electorate and run electoral campaigns was reshaped by the emergence and popularization of contemporary …
A Road Accident Prediction Model Using Data Mining Techniques IEEE BASE PAPER ABSTRACT: Due to the exponentially increasing number of vehicles on the road, the number of accidents occurring on a daily basis is also increasing at an alarming rate. …