ANALYSIS OF PUBLIC REACTION TO E-LEARNING ON TWITTER
Over the past few decades, due to the explosive growth of social media, online resources, and microblogging sites such as Twitter. There was an influx of user-generated content. The data obtained from these resources is a rich source of information for data mining. Sentiment analysis is a current and important area of research that attempts to determine the polarity of a text. The definition of feelings about current events in the world has become crucial. This article focuses on data mining on Twitter and defining opinions regarding e-learning. The focus is on identifying sentiment from e-learning-related texts that are shared on Twitter. About 3,000 tweets were extracted and the polarity of those tweets was detected, and then visualize the resulting data.
Knaan A.-R., Polshchikov K.A. Analysis of public reaction to e-learning on Twitter // Research result. Information technologies. – Т.7, №2, 2022. – P. 48-54. DOI: 10.18413/2518-1092-2022-7-2-0-6
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