A satin optimized dynamic learning model (sodlm) for sentiment analysis using opinion mining
Social media have grown more prevalent in daily life as a result of the quick development of
internet technology. People use social media as a forum to share their thoughts …
internet technology. People use social media as a forum to share their thoughts …
[PDF][PDF] Privacy-Enhanced Sentiment Analysis in Mental Health: Federated Learning with Data Obfuscation and Bidirectional Encoder Representations from …
This research aims to find an optimal balance between privacy and performance in
forecasting mental health sentiment. This paper investigates federated learning (FL) …
forecasting mental health sentiment. This paper investigates federated learning (FL) …
Comparative Analysis of Machine Learning Algorithms for Arabic Sentiment Analysis on Imbalanced Social Media Data
Sentiment analysis is crucial in understanding public opinions and attitudes on social media
platforms. However, dealing with imbalanced datasets, especially in the context of Arabic …
platforms. However, dealing with imbalanced datasets, especially in the context of Arabic …
Polarity Prediction Using Automatic Semantic Analysis on User Comments
S Doharey, H Goswami… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Gauging the quality of a video or post by inspecting the user comments is a challenging task,
as it requires reading through the comments. Over the years, researchers have employed …
as it requires reading through the comments. Over the years, researchers have employed …
[PDF][PDF] Privacy-Enhanced Sentiment Analysis in Mental Health: Federated Learning with Data Obfuscation and BERT
SI Ahsan, D Djenouri, R Haider - 2024 - preprints.org
This research aims to find an optimal balance between privacy and performance in
forecasting mental health sentiment. This paper investigates federated learning (FL) …
forecasting mental health sentiment. This paper investigates federated learning (FL) …