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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

schoudhary1553

Hello, I can help you with your project - crime rate pattern detection in 5 high and low crime rate areas in usa using twitter I have gone through your job posting and become very much interested to work with you. I Lagi

$220 USD dalam 4 hari
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7.7
suyashdhoot

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$250 USD dalam 7 hari
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6.9
williams115

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$300 USD dalam 7 hari
(37 Ulasan)
5.9
anchalsingh0005

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$120 USD dalam 3 hari
(10 Ulasan)
4.2
segredominic

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$172 USD dalam 3 hari
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4.0
solutionspandas

Hi In the past I have performed twitter-based analysis. Let's discuss this in detail. I have been doing deep learning development since 2017. I have experienced several state of the art models like inception, vg Lagi

$500 USD dalam 30 hari
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hsh564cf84accd96

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$30 USD dalam 7 hari
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3.4
lismreuben

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$200 USD dalam 10 hari
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3.5
sirajahmadzai

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freeproject800

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AleksandarDikic

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$155 USD dalam 7 hari
(2 Ulasan)
1.2
genius1226

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$200 USD dalam 7 hari
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0.7
seasea838

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prachait47

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prateekraj710

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