Real-time data elicitation from Twitter: Evaluation and depiction strategies of tweets concerned to the blazing issues through Twitter application

Internet or more formally the World Wide Web is all about “Information”. Information is that we can create; information is that we can share; information is that we can analyze to derive further more meaningful and interesting information. The prevailing web of documents is all about these concerns related to information. We create some information in any possible form regarding any possible domain of it and we are free to share it with others via internet. We can retrieve information from the web through the efficient search engines like Yahoo and Google but as far as sharing of information on a more profound platform is concerned we are availed with equally efficient and interactive social networking websites like Twitter, facebook, LinkedIn and many more. We can freely share our views, opinions and perspectives on these social media and additionally it can make people follow any person, community, organization or any particular context of their interest. However, security concerns about the information we share are always a matter of consideration. That is the part with sharing and letting people follow any piece of information on social media but a more fascinating job resides in collecting and analyzing such information so as to derive something really different and more reasonable and what could be better if we can perform this information extraction while it´s been shared at the same time. Here we are talking about the live or Real-Time data retrieval from SNSs and predominantly from Twitter. Aided with a Twitter application we retrieved 13,708 live opinions regarding the trending issues and performed the analysis of the same to produce some valuable results in form of positive, negative emotion detection in that concern and we embellished all that with detailed graph plots in the context and made the evaluations of the diversified domains of information on being the most virulent of all.