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4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022
; : 1043-1048, 2022.
Article
in English
| Scopus | ID: covidwho-2213279
ABSTRACT
'Sentiment Analysis on Online Education during Covid Pandemic' is the title of this research. This is the most common method for determining and classifying people's view on any services or products. It is the process to determine if a specific piece of information is positive, negative, or neutral. During COVID-19 pandemic lockdowns, educational institutions close, resulting in online schooling. The impact of online education is explored in this research by studying people's reactions to it. Such feedbacks are collected and analyzed by using Lexicon Approach includes (Text Blob, Vader Analysis, and Senti Word Net) to get a better-analyzed result. © 2022 IEEE.