Social media is now widely used for uploading photos and sharing one's thoughts by posting them as status. This context collected from users is better than the conventional ones which requires tedious user involvement to study their behavioral characteristics. These posts made by individuals in their profile directly or indirectly reflects the interests, opinions and thoughts over a particular topic or an incident. By analyzing those posts, the correlation between the contents of the post and

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... havior characteristics can be understood. However it is difficult to find the individual's characteristics accurately since the posts have to be monitored over a certain period of time and all the posts within the period of time has to be analyzed together. The presented approach investigates the datasets containing the user posts over a period of time and predict the user's behavioral characteristics. We also define and classify a number of characteristics based on the posts made by an individual. The results obtained after the analysis reveal the behavioral characteristics of the user which can be used for service provision to a specific type of crowd.