The list of 5 high and 5 safest are taken and the tweets related to crime are downloaded in those 10 areas with the geolocation and key words that are related to crime .After downloading the tweets for certain amount of time all the tweets are cleaned area and preporcessed..Design a geographic filter Read the database and cluster the tweets according to the [login to view URL] the city-specific data according to the date the tweet the tweet was posted in [login to view URL] the number of crime-related tweets in each city. For example,CityName#TweetCount_Day1#TweetCount_Day2#......#[login to view URL] the population density defined as the population per unit area of each city
Then results are to be visualized that show that twitter can be used to predict crime patterns in the given 10 areas
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As a guru in Deep-learning, Python & .Net, I wish to express my interest for this project. Please note, I have 10+ years of experience. Kindly, let us discuss/negotiate the details in chat. Cheers
i am new on free lancing platform but i can provide you the exact required results. i have experience of working on several projects that would help me a lot with this project.