Identify Potential Breaking News Based on Social Media Posts Using Machine Learning

Abstract

Social media consists of interactive applications and platforms for creating and exchange of user-generated contents. Due to its ease of use, speed and reach, social media is changing the public discourse in society and setting trends and agendas in topics that range from the healthcare and educational industry to politics and the technology. In recent days, the use of Social Media (Twitter) has tremendously increased. People are 24x7 available on Social Media and post and share a lot of data. The aim and goal of this project is to use the data from Social Media for predicting the news from it and calling for help in crisis. Sometimes it happens like there is a disaster or tragedy in some area and no emergency services are called. The proposed work classifies Twitter Trending Topics into categories such as disease, healthcare and calamities. Implementation conducted on twitter dataset shows effectiveness of the proposed approach.