Extracting Twitter Data, Pre-Processing and Sentiment Analysis using Python 3.0
Twitter Data Extraction using Python
Twitter is a gold mine of data. Unlike other social platforms, almost every user’s tweets are completely public and pullable. This is a huge plus if you’re trying to get a large amount of data to run analytics on. Twitter data is also pretty specific. Twitter’s API allows you to do complex queries like pulling every tweet about a certain topic within the last twenty minutes or pull a certain user’s non-retweeted tweets. [Source: https://chatbotslife.com/twitter-data-mining-a-guide-to-big-data-analytics-using-python-4efc8ccfa219]
Hereby in this article, I’ll guide you through the steps I did to extract three set of Twitter data uniquely separated by three set of keywords + hashtags.
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