… In this research, tweet data were collected using the Twitter API from April 3 to 30, 2020,
during the COVID19 lockdown in Thailand. Data preprocessing was performed in this research. …

… -existent; this was not the case with COVID-19 in 2020. Therefore, our findings show that
some Twitter posts had a more significant effect in the COVID-19 era than in the H1N1 period. …

… sentiment analysis to examine the responses towards the government's handling of
COVID-19… The data in this study are divided into general and economic related sentiments. The …

… analyze the COVID-19 related sentimental analysis. To enhance the accuracy of sentimental
analysis, we have proposed a novel approach known as Sentimental Analysis of Twitter …

… With our work we examine the detection of sentiments regarding the COVID-19 in Greece
by using Twitter messages written in the Greek language and try to deal with two specific …

… (SA) has used to data mining related to sentiments or opinions for a specific topic [… , we
use sentiment analysis to analyze the effectiveness of distance learning during the COVID-19 …

… In this research study, a deep learning sentiment analysis model based on Universal
Sentence Encoder is applied to a dataset collected from Twitter about coronavirus. The main …

… We included tweet ID with the data, hence the … tweet if that tweet is still public. However,
we respect if a user wants to remove tweets, and to ensure that we processed the tweet text and …

… It will also be used as the basis for identifying sentiments and emotions of Covid19 Tweets.
… In summary, this research aims at working on the Sentiment Analysis of COVID-19 Tweets. …

… by taking their tweets about COVID-19. A total of 65,396 COVID-19related tweets were submitted
… , it was the first article to conduct sentiment analysis on COVID-19 tweets, not just in the …