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.
scraped #endsars tweets from twitter using Twint, created visuals and sentiment analysis of the tweets
Social Media Topic Sentiment Analysis and Visualisation. FYP for TARUMT BCompSc (Hons.) in Data Science.
A scraping tool based on tweepy module
Scraping using Pyhton
tweet sentiment thing
Downloaded tweets from the most popular news agencies and extract keywords from them. In the next steps, I plotted a word cloud and did a sentiment analysis for tweets that have the keywords.
American Express App Dev hackathon | Techgig
WE1S Tweet Suite: collecting and processing Twitter data
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