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

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

Skills: Python, Machine Learning (ML), Twitter, Data Processing, Data Cleansing

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About the Employer:
( 3 reviews ) LONG BEACH, United States

Project ID: #23461815

14 freelancers are bidding on average $207 for this job


I am a data scientist proficient in machine learning, statistical analysis and web scrapping. My expertise in Python and R have comes from my experience in Natural Language processing, statistical analysis, web scrapin More

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Recently completed same type of work but data provided was for Asean countries. tweeter data was provided to determine whether tweets can be used to predict crime rate. Also same data was used to determine highest and More

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Hello ! I see that you need some help with Crime rate pattern detection in 5 high and low crime rate areas in US using twitter data that you have. In the past, I have worked on various projects from end-to-end which i More

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