Public Health | Social Media Analysis Quantified multidimensional public sentiment characteristics on social media for public opinion management: Evidence from the COVID-19 pandemic. April 3, 2023
Computer Science | Data Science | Social Media Analysis An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets. March 11, 2023
Artificial Intelligence | Social Media Analysis Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users’ Comments. February 28, 2023
Health Disparities | Public Health | Social Media Analysis Examining Exposure to Messaging, Content, and Hate Speech from Partisan News Social Media Posts on Racial and Ethnic Health Disparities. February 25, 2023
Public Health | Social Media Analysis Public perception on ‘healthy ageing’ in the past decade: An unsupervised machine learning of 63,809 Twitter posts. February 7, 2023
Natural Language Processing | Social Media Analysis A BERT Framework to Sentiment Analysis of Tweets. January 8, 2023
Health Communication | Public Health | Social Media Analysis Users’ Reactions on Announced Vaccines against COVID-19 Before Marketing in France: Analysis of Twitter posts. January 3, 2023
Data Science | Deep Learning | Social Media Analysis A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. December 23, 2022
Psychiatry | Public Health | Social Media Analysis Measuring daily-life fear perception change: A computational study in the context of COVID-19. December 22, 2022
Data Science | Natural Language Processing | Public Health | Social Media Analysis Predicting the sentiment of South Korean Twitter users toward vaccination after the emergence of COVID-19 Omicron variant using deep learning-based natural language processing. October 3, 2022
Healthcare | Occupational Health | Social Media Analysis Identifying health related occupations of Twitter users through word embedding and deep neural networks. September 28, 2022
Data Science | Public Health | Social Media Analysis A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK. September 23, 2022