Social media Information Extraction

Introduction: In today’s world, social media one of the most popular and fastest information-bearing services. The leading social media like Twitter and Facebook produce a huge volume of information through their microblogs. The number of microblogs produced every minute by these services is so large that the old information uses to be buried. sometimes the messages of these services are not complete, structured, and relevant to the topic that time for it becomes difficult for the users to find the exact information they are searching for.  For example, if someone wants to know the popularity of Indian Prime Minister Mr. Narendra Modi before, during, or after the election, then microblogging services can be an easy and highly available source of his popularity information. Hence in this paper, we have tried to build an efficient way of extracting messages containing the topics/subtopics of users' interest. While popularity in social networks is raising the field of social netw...