A Twitter client to parallelize requests across multiple API keys
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Updated
Jun 28, 2020 - Python
A Twitter client to parallelize requests across multiple API keys
Developed a Python program that scrapes tweets off Twitter using twint, based on the user’s input and exports the data as CSV. Extracted and analyzed sentiments using Afinn to examine how positive or negative the tweets are, using Matplotlib to display them on a pie chart.+more
Scraping Top Trending Hashtags related tweets in your country.
A scraping tool based on tweepy module
Automated Twitter tweet analysis for any Twitter handle. Aimed at analyzing potential employer's Twitter handles.
Augmented Reality Gaming Helper. Be brave, be bold, say ARGH.
Methods used for the classification of Tweets related to the 2022 Russian Invasion of Ukraine
An attempt to revive twint by using a different backend
TWINT Flask-Celery Server. Optimized tweets scraping
My first journey into the wonderful world of sentiment analysis. Do not trust this sentiment analysis script under any circumstances! The results are most probably as dependable as a dice roll.
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