Azlinah Mohamed1,3,*, Zuhaira Muhammad Zain2, Hadil Shaiba2,*, Nazik Alturki2, Ghadah Aldehim2, Sapiah Sakri2, Saiful Farik Mat Yatin1, Jasni Mohamad Zain1
CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1577-1601, 2023, DOI:10.32604/cmc.2023.034746
Abstract The COVID-19 pandemic has spread globally, resulting in financial instability in many countries and reductions in the per capita gross domestic product. Sentiment analysis is a cost-effective method for acquiring sentiments based on household income loss, as expressed on social media. However, limited research has been conducted in this domain using the LexDeep approach. This study aimed to explore social trend analytics using LexDeep, which is a hybrid sentiment analysis technique, on Twitter to capture the risk of household income loss during the COVID-19 pandemic. First, tweet data were collected using Twint with relevant keywords before (9 March 2019 to… More >
Login
Register
