Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

27 August 2020

Papers citing "Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic"

6 / 6 papers shown

Title
A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines Swati Swati Adrian Mladenic Grobelnik Dunja Mladenić M. Grobelnik 37 3 0 01 Dec 2022
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 39 0 04 Nov 2022
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications Yining Hua Hang Jiang Shixu Lin Jie Yang Joseph M. Plasek D. Bates Li Zhou 40 37 0 29 Jun 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 36 1 0 16 Nov 2021
COVID-19 sentiment analysis via deep learning during the rise of novel cases Rohitash Chandra Aswin Krishna 35 97 0 05 Apr 2021
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection Anna Glazkova Maksim Glazkov T. Trifonov 32 58 0 22 Dec 2020