Now a days, searching for the text data in a large ocean like location is quite challenging and more inaccurate task. Data that holds with the relation to its event can be evolved with certain changes with some intervals of time. Already existing techniques provides a trendy manner in order to extract a textual data with the visual analysis based on the event.But few data may have topic meaning that representing the kind of data to be extracted. In this paper, we propose a analytic system as an interactive manner called LeadLine, to recognize a data automatically by some semantic events in news blog as well as social media and deploys expansion or retrieval of the events. To organize such an events, LeadLine combines topic modeling, event detection, and named object or an entity recognition techniques to retrieve information automatically based on who, what, when, and where for each event. In order to make text data to be an effective one, LeadLine enables users to analyze interactively valid events by using 4 Ws to build an reviewing of mainly how, when and why. Bulky text data can be present normally as also the outdated one. These data can be concise with the help of LeadLine. LeadLine also provides the most simple process just by the exploration of events. To prove the effectiveness of LeadLine, These were implemented in the news blogs and social media data.