Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Crime Analysis and Forecasting using Twitter Data in the Indian Context Subject The topic of the resource Crime prediction; Crimeanalysis; Machine Learning; Social media; Twitter Description An account of the resource Since the late 1990s, social media has added more features and users. Due to the rise of social media, blogs and posts by common people are now a part of mainstream journalism. Twitter is a place where people can share their ideas about culture, society, the economy, and politics. India's large population and rising crime rate make it hard for law enforcement to find and stop illegal activities. This article shows the use of Twitter data to analyse, forecast, and visualise criminal activity using statistical and machine learning models and geospatial visualisation techniques. This helps law enforcement agencies make the best use of their limited resources and put them in the right places. The research aims to present a spatial and temporal picture of crime in India and is split into three parts: Classification, Visualisation, and Forecasting. Crime tweets are identified using a hashtag query argument in the tweepy python package's search_tweets function, followed by substring-keyword classification. The visualisation uses gmaps and bokeh python packages for geospatial and matplotlib for analytical applications. The forecasting portion compares AR, ARIMA, and LSTM to determine the best model for time series forecasting of crime tweet count. 2023 IEEE. Creator An entity primarily responsible for making the resource Vivek M.; Prathap B.R. Source A related resource from which the described resource is derived 2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023, pp. 919-924. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AISC56616.2023.10085282" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AISC56616.2023.10085282</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153519036&amp;doi=10.1109%2FAISC56616.2023.10085282&amp;partnerID=40&amp;md5=fc7d19a78977998370c9d23913a09a37" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153519036&amp;doi=10.1109%2fAISC56616.2023.10085282&amp;partnerID=40&amp;md5=fc7d19a78977998370c9d23913a09a37</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032230-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vivek M., CHRIST(Deemed to Be University), Computer Science and Engineering, Bangalore, India; Prathap B.R., CHRIST(Deemed to Be University), Computer Science and Engineering, Bangalore, India