crime rate pattern detection in 5 high and low crime rate areas in usa using twitter

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

Kemahiran: Python, Machine Learning (ML), Twitter, Pemprosesan Data, Data Cleansing

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Tentang Majikan:
( 3 ulasan ) LONG BEACH, United States

ID Projek: #23400035

16 pekerja bebas membida secara purata $204 untuk pekerjaan ini


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