Fire disaster awareness based on microblog messages using Naïve bayes algorithm and key-code language detection technique

In recent years, social media has been an efficient platform for fast dissemination of information. The advent of microblogs however boost disaster awareness immensely as many researchers dive into actively analyzing short messages from various internet users around the globe. Our algorithm hereby employs a method in which Naïve Bayes algorithm was adopted to analyze microblog messages for fire disaster awareness. We also device a language detection algorithm which could overcome language barriers in processing microblog messages extensively. Weibo data of year 2012 was experimented on and an accuracy between 87% and 99% was obtained.