Twitter Data Classification using Multinomial Naive Bayes for Tropical Diseases Mapping in Indonesia
Romy Ranovan, Afrizal Doewes, Ristu Saptono · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · 2018
Tropical diseases are diseases commonly found in tropical and sub-tropical regions. The goal of this research is to map the tropical diseases based on data from Twitter to help policymakers take essential steps regarding health condition in Indonesia. Tweets classification was conducted in two phases, both using Multinomial Naive Bayes. The first phase is to filter non-Indonesian tweets, and the second phase is to classify the tweets containing diseases information. The result shows the type of the diseases and location with high accuracy supported by map visualization.