Content generation has been identifies as a key challenge in a social network. As the social network is being in a peak in the human society, generating content according to the sentiment of any user is a challenging task. There exist number of approaches in content generation and sentiment analysis; they use the tags, messages posted and page visited as the key feature in identifying the sentiment of the user towards content generation