This research aims to analyze location based twitter data to measure the popularity of the products/persons or any given user parameter. For this purpose this work has integrated sentimental analysis, location based system and ontology. An application with a novel user interface has been developed to search and visualize the data on Google map. This research work uses publicly available and location enabled twitter data. This work also has the capability to process tweet data without user’s locations.
The main contribution of this research is the integration of sentimental analysis on location based Twitter data. Another significant contribution is the development of a novel user interface, which allows the user to search on a map interactively with multi-focusing features on Google map. This integrated sentiment analysis work efficiently performs location based popularity scaling on products, persons, brands or any given topic.