Use of Sentiment Analysis and Semantic Web to create Smart Map

Abstract

There are various limitations of the  current web like high recall, low precision or search result are highly sensitive to vocabulary because of this next generation web i.e., Semantic web is used. In Semantic Web information is given in well defined and meaningful manner. Proposed system takes the advantages of Semantic web. In proposed approach we used Google Map API to create Map. And used as front end to select particular place called entity. Main aim of the system is to change the way we Map the entity. Once a Map entity is identified Semantic Web i.e., DBpedia is used to retrieve the information about select entity. After that comments, review also called tweets related to that select entity is displayed on Map form Twitter. Sentiment analysis could be applied on this tweet’s to show the opinions, sentiments, evaluations, appraisals, attitudes, and emotions of other user towards entities.