Text to vector image conversion and Adaptive Resonance Theory applied for Crisis communication

The fast and up-to-date communication of disaster and recovery information during crisis plays a very important role in victims' life. Most of the information will reach as text and could be communicated as such. But this needs proper network coverage. In this research paper, a new software is developed to convert the text into vector images ie., syntagms into signagrams, and groups the crisis into categories using adaptive resonance theory. The proposed software can be used for delivering a quick and effective communication during crisis.