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NLP_On_Bike_Craze_By_Location

To provide solution/help those to get a quick overview of the current craze of a bike by location based on Tweets by users in the location.
#Inferential Statistics #Machine Learning #Data Visualization #Natural Language Processing #Web Scraping #Twitter API #Data Cleaning

As countries have different bike companies and I don't want to put an extra load on Twitter API usage by searching through all the bike companies hashtags that exist in the world and so I have implemented a search of only the bike companies that exist in the user country. Used wikipedia page (https://en.wikipedia.org/wiki/List_of_motorcycle_manufacturers) to get the list of countries and its bike companies. The wikipedia page was scraped using Beautiful Soup library. Twitter API (free tier) is used to get the tweets based on bike names. All the tweets are cleaned and visualized.

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