50USD! Analysis On Tweets Using Python and TWINT

Budget: 50USD!


I need someone to:

1. Setup a Ubuntu Virtual Machine with all necessary tools, namely Spyder for python programming.

2. Install python twint onto that VM

3. Create a script that can:

3.1. Gather tweets connected to a certain keyword (i.e. Trump) and a certain day or range of days (i.e. today)

3.2. Do sentiment analysis on these collected tweets

There a plenty of online tutorial of how to do that, such as here: [login to view URL], but I just don't have the time to do it.

At the end, you should deliver the virtual machine with everything setup and the python files. (Here you can see how to export the VM: [login to view URL])

Skills: Python, Linux, Software Architecture, Machine Learning (ML), Web Scraping

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About the Employer:
( 15 reviews ) chavanne, Switzerland

Project ID: #28737106

Awarded to:


I can deliver the exported virtual machine after complete setup and python sentiment analysis code done in a day. I already did a sentiment analysis project a while back. I'll set it up for you. Let's chat to discuss m More

$45 USD in 1 day
(3 Reviews)

5 freelancers are bidding on average $45 for this job


Hi , i am a data scientist , I have done a project similar to thid , contact me for more details , thank you!

$50 USD in 7 days
(29 Reviews)

Hello dear , This is Mohamed , working as data analyst with solid experience in webscrapping by python and libraries like selinum , beautiful soap and tweety you can check my twitter scrapping from [login to view URL] More

$50 USD in 5 days
(1 Review)

Hi Client, I have worked on the sentiment analysis and very confident about this project. Also, I have made a web app for tweet analysis. Looking forward to working with you. Thanks Yash

$50 USD in 2 days
(3 Reviews)

Hello there! I had already developed Twitter Sentimental Analysis. I am professional Full Stack Developer and Android App Developer. I had experience over many languages like Java, Python, JavaScript, PHP, Machine Lera More

$30 USD in 1 day
(0 Reviews)