Main Article Content
Abstract
Communication is a source of sharing or exchanging of our thoughts, ideas, information, visuals, message or even signals. Social media is being a good source of communication, it could help reduce pressure, social support is being provided to those who are being affected by any natural disasters such as Floods, wildfires, Earthquake or Tsunami etc. And additionally social Media could provide essential information required in order to deal or cope with natural disasters.
The wide active users in social media, made us to consider as an important source of disaster management and also it`s being a close Real-Time communication channels used to share information during the critical times of Natural Disaster and crisis. Social media analytics is the process of gathering and analyzing data from the users of social networks such as Facebook, Instagram, Twitter and more [1]. During disaster there will be shortage of situational information management and no coordination in relief efforts. Using pattern matching methods, all the data gathered from the social media users are been matched with situations during disaster and analysed. By this way social media plays a vital role during disaster to help the needy hands. At the time of disaster a volunteered girl said: “I know my street, but I don`t know what is happening in the rest of multiple streets in my own area. If someone needs help, how will I know and where should I start?” In this paper sentimental analysis, word count, Text analysis concept are used to analyse the twitter data and represent it using bar plot and pie chart.