Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Introduction Several attempts have been made to enhance text-based sentiment analysis's
performance. The classifiers and word embedding models have been among the most …

A complete sentiment analysis of product and service reviews has attracted growing
concerns from merchants to enhance personalized marketing activities. Aspect sentiment …

In recent years, the field of natural language processing has placed a significant emphasis
on multilingual emotion classification, particularly within social media analysis. This study …

This study addresses the challenge of class imbalance in sentiment analysis by utilizing
synthetic data to balance training datasets. We introduce an innovative approach using the …

In recent years, the prevalence of imbalanced datasets has posed significant challenges to
traditional machine learning models. This imbalance is especially pronounced in fields such …

Social media platforms in the modern era are enormous informational databases that
continually generate massive volumes of data that provide deep insights into human …

The election of legislative members is a significant moment from the perspective of
democracy, influencing the policies and direction of a country. In the digital era, sentiment …

Online customer reviews can be valuable information when processed with the right
techniques. Businesses aim to enhance their strategies in managing operations by …

일반적으로 딥러닝 모델은 모든 라벨에 데이터 수가 균형을 이룰 때 가장 좋은 성능을 보인다.
그러나 현실에서는 특정라벨에 대한 데이터가 부족한 경우가 많으며 이로 인해 불균형 데이터 …