A CNN-LSTM-based hybrid deep learning approach for sentiment analysis on Monkeypox tweets
The research on sentiment analysis has shown a great deal of utility in the field of public
health, specifically in the investigation of infectious illnesses. As the world begins to …
health, specifically in the investigation of infectious illnesses. As the world begins to …
[HTML][HTML] Sentiment analysis on images using convolutional neural networks based Inception-V3 transfer learning approach
Sentiment analysis has become a precious tool for businesses because it can be used in so
many ways: to find out what customers think about products and services, to build customer …
many ways: to find out what customers think about products and services, to build customer …
Scenario construction and deduction for railway emergency response decision-making based on network models
L Shi, X Yang, J Li, J Wu, H Sun - Information Sciences, 2022 - Elsevier
Railway emergencies have the characteristics of unobvious precursors and complex
secondary derivatives, which is difficult for decision-makers to make effective emergency …
secondary derivatives, which is difficult for decision-makers to make effective emergency …
[HTML][HTML] A hybrid deep learning approach for detecting sentiment polarities and knowledge graph representation on monkeypox tweets
People have recently begun communicating their thoughts and viewpoints through user-
generated multimedia material on social networking websites. This information can be …
generated multimedia material on social networking websites. This information can be …
Skin lesion classification on dermatoscopic images using effective data augmentation and pre-trained deep learning approach
F Bozkurt - Multimedia Tools and Applications, 2023 - Springer
Skin cancer is a severe disease that is common and causes death if left untreated. When
skin cancer is detected early through dermatoscopic imaging, the possibility of definitive …
skin cancer is detected early through dermatoscopic imaging, the possibility of definitive …
Image-based sentiment analysis using InceptionV3 transfer learning approach
There has been a recent shift from using text-based sentiment analysis in favor of an image-
based method. In recent years, transfer learning methods have been widely utilized in …
based method. In recent years, transfer learning methods have been widely utilized in …
Deep learning-based election results prediction using Twitter activity
Nowadays, political parties have widely adopted social media for their party promotions and
election campaigns. During the election, Twitter and other social media platforms are used …
election campaigns. During the election, Twitter and other social media platforms are used …
Biden vs trump: modeling us general elections using bert language model
Social media plays a crucial role in sha** the worldview during election campaigns.
Social media has been used as a medium for political campaigns and a tool for organizing …
Social media has been used as a medium for political campaigns and a tool for organizing …
Event detection system based on user behavior changes in online social networks: Case of the covid-19 pandemic
People use Online Social Networks (OSNs) to express their opinions and feelings about
many topics. Depending on the nature of an event and its dissemination rate in OSNs, and …
many topics. Depending on the nature of an event and its dissemination rate in OSNs, and …
Monkeypox recognition and prediction from visuals using deep transfer learning-based neural networks
As the globe struggles to recover from COVID-19, the monkeypox virus has emerged as a
new global pandemic threat. Monkeypox cases are still being reported daily from different …
new global pandemic threat. Monkeypox cases are still being reported daily from different …