Detaining the Subjective Relevant Events based on user’s Likelihood by an Exotic Approach

Data Mining is the process of examining the different types of data and summarizing it to the useful information. The Opinion mining is the process of natural language processing, analysis, computational identification and extraction of subjective relevant information. Social media is an emerging trend for communication between people worldwide and it has attracted millions of users. A typical characteristic of such sites is that they allow anyone to post or like anything they like on any subject. Here the user’s feedback and satisfaction is playing a vital role. In some cases the user may not give the feedback or reviews which they have viewed or downloaded directly. Instead of that the user is just searching the available things based on their interest. So there is no possibility for capturing the domain interest behavior of the user explicitly. This paper proposes to detain the subjective relevant events based on user likehood by using the exotic approach. The user likehood is analyzed and the domain is extracted. The Experimental results determine the viability for detaining the subjective relevant events.