Developing a framework for analyzing social networks to identify human behaviours

Nowadays, online social networks become an important part in people's everyday life. Most of the people share their feelings, views, likings and disliking using social networks. By analysing social networks' data properly, it is possible to identify the behavioural patterns of the users. Considering this fact, in this paper we present a framework to analyse social networks' data to identify human behaviours. We have developed a framework for the collection and analysis of large data by crawling public data obtained from the users of online social networks. The system can analyze data posted by the users in two different languages. Experimental results show that social network is a good resource for estimating attitudes of the people.