A key challenge of oversampling in imbalanced classification is that the generation of new
minority samples often neglects the usage of majority classes, resulting in most new minority …

One of the most common vegetable crops in the world is the tomato (Solanum lycopersicum
L). Despite an increase in the area under tomato cultivation, production has not kept up. One …

Analysing huge volume of data from the social media tweets on product reviews provides a
better understanding of any product. Exploring customer opinions from tweets is helpful to …

This research analyzed the accuracy of machine learning models in classifying liver cancer
based on CT and MRI scans. A dataset consisting of 2334 images of benign and malignant …

A key challenge of oversampling in medical imbalanced data classification is that the
generation of new minority samples often neglects rich causal dependencies among …

The Sentiment discovery from data sources of social media is a challenging task. Since the
data is available not only in the structured format but also exists in un structured and semi …

A key challenge of oversampling in imbalanced classification is that the generation of new
minority samples often neglects the usage of majority classes, resulting in most new minority …

This paper presents a three stage framework for feature-based rank of opinions around
target product and features in a collection of product review tweets as twitter corpus. The …