Sentiment Analysis of Microblogging Messages for Detecting Public Safety Events

Microblogging sites have gained very importance nowadays. We can know sentiments of people and predict things from their sentiments. In this paper, we are detecting public safety events by analyzing the sentiments via Microblogging text messages. In this the ratings have been given i.e, positive, negative or neutral to the tweets, where there is a pre-selection of topics causing riots and also some random tweets based on it. In this we will calculate the subjectivity and polarity confidence to capture the sentiments. Three classes of tweet arc considered here that are positive, negative and neutral. There are predicated topics that have high chances of riots. For a particular event related with that topic we will analyze the tweets about that topic and also the tweets taken for analyzing purpose will be taken from the microblogging site users whose locations are same as that of the event. If the tweets negative comments are more than a particular threshold then the event will be said that it requires public safety.