Opinion mining of student regarding educational system using online platform

Covid-19 is a virus that is spread rapidly around the world. World Health Organization announced social distancing to control the spread of that virus. All institutions are closed in Pakistan. Education was also effecting with this shutdown. In the age of computing, social computing has emerged as a means of sharing knowledge, conveying ideas, and forming academic discussion groups, to name a few. Social websites or apps are also used for online study due to some critical situation as if nowadays we are facing many problems due to covid-19. Due to the covid-19 educational system is disturbed for that purpose we are introducing a different online platform for delivering knowledge and continue the educational system Many data mining techniques are applied to social network data for online analysis due to a large number of users and widespread use. This paper describes a method for extracting and analyzing master's student comments from the online survey that which platform is better for online study and also giving the opinion about most used platform. The proposed technique is implemented using different models or algorithms. By providing various preform as and analyzing various student opinions, the said system may assist the administration in improving the learning environment.