Smart city's context awareness using social media

The increasing number of inhabitants of a city, there will be more challenges in the management of the city. Many events that can not be controlled by either causing the slow response of the relevant institutions. Sensing the smart city through social media is offered for such a solution. Text mining is done to analyze the social media posts based on events that occurred and the emotion that follows is based on text, hashtag and geo-tagging. Methodology used is text mining approach kernel methods, particularly the support vector machine (SVM). Results are expected with this concept is the city that can listen to the aspirations and desires of the population quickly and accurately.