Mining and analysis of the big data of Twitter conversations have been of significant interest
to the scientific community in the fields of healthcare, epidemiology, big data, data science …

People have recently begun communicating their thoughts and viewpoints through user-
generated multimedia material on social networking websites. This information can be …

Infectious diseases have been posing to be a global threat in the recent times and are
progressing from endemics to pandemics. The early detection and finding a better cure is …

In the last decade and a half, the world has experienced outbreaks of a range of viruses
such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS) …

Methods In this paper, we present a hybrid model based on the transformer model and deep
learning models to enhance sentiment classification process. Robustly optimized BERT …

Lightning rod structures are susceptible to wind loads due to their high slenderness ratio,
high flexibility, and light weight. The wind-induced dynamic response of a lightning rod is …

Breast cancer is a type of cancer that develops in the cells of the breast. Treatment for breast
cancer usually involves X-ray, chemotherapy, or a combination of both treatments. Detecting …

Sentiment analysis, a branch of natural language processing (NLP), has gained significant
attention for its applications in various domains. This study focuses on utilizing machine …

The outbreak of the COVID-19 pandemic shifted socialization and information seeking to
social media platforms. The armed forces of the major military powers initiated civil support …

Sentiment analysis is a technique for determining whether data is positive, negative, or
neutral using Natural Language Processing (NLP). The particular challenge in classifying …