Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

24 April 2020

Papers citing "Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach"

7 / 7 papers shown

Title
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis Shih-Chieh Dai Aiping Xiong Lun-Wei Ku 15 64 0 23 Oct 2023
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets Javad Hassannataj Joloudari Sadiq Hussain M. Nematollahi Rouhollah Bagheri Fatemeh Fazl R. Alizadehsani Reza Lashgari Ashis Talukder 18 38 0 04 Nov 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding Yishi Xu Dongsheng Wang Bo Chen Ruiying Lu Zhibin Duan Mingyuan Zhou 38 20 0 16 Oct 2022
COVID-19-related Nepali Tweets Classification in a Low Resource Setting Rabin Adhikari Safal Thapaliya Nirajan Basnet S. Poudel Aman Shakya Bishesh Khanal 17 3 0 11 Oct 2022
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets E. Zafarani-Moattar M. Kangavari A. Rahmani 28 1 0 16 Nov 2021
Sentiment Analysis of the COVID-related r/Depression Posts Zihan Chen Marina Sokolova 19 4 0 28 Jul 2021
Health, Psychosocial, and Social issues emanating from COVID-19 pandemic based on Social Media Comments using Natural Language Processing O. Oyebode Chinenye Ndulue Ashfaq Adib D. Mulchandani Banuchitra Suruliraj F. Orji C. Chambers S. Meier Rita Orji 16 9 0 23 Jul 2020