Abstract

Police traditionally use maps and tacit knowledge about a city to determine which public areas are to be observed to prevent or reduce crime rates. Most of the times, the accuracy of such predictions are very low. Crime prevention should be a proactive measure rather than a reactive one. Data from social networking sites like Twitter can enable the prediction of future crimes in major cities and is used extensively in countries like the USA. The data used in this study are Twitter feeds from 5 major cities in India. Based on the latitude and longitude, this study attempts to collect the data for top 10 types of crimes across these major cities and then compare the results with the data from Government website, National Crime Records Bureau (NCRB).

 Data collection is planned in three stages; 1. Collecting crime data from Twitter 2. Data from Govt. Crime records website and 3. Creating a combined data set with both twitter data and the Government data. Text mining and sentiment analytics will be used to predict the crime rates in these cities. Our attempt is to come up with a better predictive model which can predict crimes that could occur in these cities for the next 3 months.

Presented and Published at: Proceedings at 5^th International Conference on Business Analytics and Intelligence on December 2017 at IIM Bangalore