Hope speech detection is a new task for finding and highlighting positive comments or supporting content from user-generated social media comments. For this task, we have used Shared Task multilingual dataset on Speech Detection Equality, Diversity, Inclusion (HopeEDI) three languages English, code-switched Tamil Malayalam. In paper, present deep learning techniques using context-aware string e...

Concept drift and class imbalanced data are major challenging processes involved in modern streaming classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping distribution, concept drift, imbalance can considerably affect classifier results. In addition, various challenges performance existing oversampling schemes such as SMOTE its derivatives...

Abstract In the last decade, we have seen drastic changes in air pollution level, which has become a critical environmental issue. It should be handled carefully towards making solutions for proficient healthcare. Reducing impact of on human health is possible only if data correctly classified. numerous classification problems, are facing class imbalance Learning from imbalanced always challeng...