Twitter Analysis for Disaster Management

Disaster always leads to response from the people and in this new technology generation, people give their feedback and raise concerns through their views on social media platform. Twitter is used for such response and information exchange. This paper reports in depth twitter analysis of Nepal Earthquake and identification of various factors in the disaster module. Based on Twitter data collected between last week of April and first week of May 2015. 40,236 raw messages apparently related to the Nepal earthquake were retrieved, preprocessed and analysis were done on the same. This paper shows measures and analysis of the situation using geolocation feature for identifying danger zones and visual analytics of the dataset. With the help of the keyword generation algorithm different parameters were introduced. The results show that our disaster module can work on different hashtags and no need for prior defining of parameters by humans provided the data set is available for that unique problem.