Sentiment analysis aims to extract people's emotions and opinion from their comments on
the web. It widely used in businesses to detect sentiment in social data, gauge brand …

This study explores the integration of advanced Natural Language Processing (NLP) and
Artificial Intelligence (AI) techniques to analyze and interpret Persian literature, focusing on …

Sentiment classification is a prevalent task in text mining in which a text classifies into
positive, negative, or neutral classes. Sentiment classification is an essential issue of …

Thoracic and cardiothoracic surgery is one of the most dangerous diseases that may face a
big problem. When performing such operations, cardiothoracic surgery is a medical field that …

With the extensive Internet applications, review sentiment classification has attracted
increasing interest among text mining experts. Traditional bag of words approaches did not …

Due to the importance of automatic identification of brain conditions, many researchers
concentrate on Epilepsy disorder to aim to the detecting of eye states and classification …

Despite the remarkable achievements of large transformer-based pre-trained models like
BERT, GPT in several Natural Language Processing (NLP) tasks including Sentiment …

Heart disease pretends great danger to people, as heart disease has recently become a
dangerous disease that acts as a threat to humans. It usually affects all groups from young to …