Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 occurred
unexpectedly in China in December 2019. Tens of millions of confirmed cases and more …
unexpectedly in China in December 2019. Tens of millions of confirmed cases and more …
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
Social media (and the world at large) have been awash with news of the COVID-19
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
COVID-19 epidemic analysis using machine learning and deep learning algorithms
The catastrophic outbreak of Severe Acute Respiratory Syndrome-Coronavirus (SARS-CoV-
2) also known as COVID-2019 has brought the worldwide threat to the living society. The …
2) also known as COVID-2019 has brought the worldwide threat to the living society. The …
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
Abstract The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
A novel machine learning approach for sentiment analysis on Twitter incorporating the universal language model fine-tuning and SVM
B AlBadani, R Shi, J Dong - Applied System Innovation, 2022 - mdpi.com
Twitter sentiment detectors (TSDs) provide a better solution to evaluate the quality of service
and product than other traditional technologies. The classification accuracy and detection …
and product than other traditional technologies. The classification accuracy and detection …
COVID-19 pandemic analysis using application of AI
COVID disease (COVID-19) is a disease with aggravation due to added infection. The
infection triggers breathing infirmity through symptoms such as unruffled, flunky, and high …
infection triggers breathing infirmity through symptoms such as unruffled, flunky, and high …
Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
Impact of Covid Vaccination on the Globe using data analytics
The new World Economic Forum-Ipsos vaccine trust study reveals that clear intent to have a
vaccine for COVID-19 has improved in the United Kingdom and the United States, two …
vaccine for COVID-19 has improved in the United Kingdom and the United States, two …
A systematic review on AI/ML approaches against COVID-19 outbreak
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …