Text mining for opinion analysis: the case of recent floods in Iran on Twitter
by Reza Kamranrad; Ali Jozi; Ehsan Mardan
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 20, No. 3, 2022

Abstract: The sentiment analysis relates to the study and understanding of emotions and beliefs in a particular text. This analysis gives us a lot of information. Twitter is a popular social network in recent years, in which users express their opinions and feelings about various topics in the Twitter social media operating system. By analysing this information, we can get an overview of public opinion about any particular topic. The classification of information is effective in understanding information and we cluster information. In this article, we are trying to analyse the status of Twitter on the monitoring and emotions of people about the recent flood events in Iran.

Online publication date: Mon, 11-Apr-2022

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