Social media-based COVID-19 sentiment classification model using Bi-LSTMResearch article Published on 2023-02-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Bi-LSTM can be used COVID-19 dataset deep learning Effect Health Internet Long media Metrics mitigate natural language processing pandemic public health Reddit Sentiment classification social media social media platforms [DOI] 10.1016/j.eswa.2022.118710 [Article Type] Research article
COVID-19 Sensing: Negative Sentiment Analysis on Social Media in China via BERT ModelSocial Implications of Technology Published on 2020-07-282022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] Accuracy activity adopted alleviate Analysis analyzed bat category Characteristics China Chinese city conducted Control Coronavirus disease 2019 Cover-up COVID-19 COVID-19 sensing food Frequency Guidance help identify information media Model negative Neutral New origin outbreak positive Production provide Public public health Public health responses Randomly representation Result School selected Sentiment classification Sina Weibo social media in China Taking thematic analysis theory transformers trend virus work [DOI] 10.1109/ACCESS.2020.3012595 PMC 바로가기 [Article Type] Social Implications of Technology