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Getting Twitter data which is later visualized in Tableau
Jupyter Notebook Python
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BankSentimentAnalysis
README.md

README.md

Bank Sentiment Analysis

Requirements

  1. GOT3
  2. vaderSentiment.

About

I love analyzing text. This is my bread-and-butter and what I really concentrated on through much of my education and career. Text is more challenging to work with than numbers and it takes a particular skillset. When I was thinking of what data I could use for a sentiment analysis dashbaord the idea of banks came to me. So, I searched Twitter for tweets containing the name of three big American banks. The resulting data is later visualized in Tableau. You can see the visual here: http://jlbdatasci.com/jobs/bank/

How to use:

Run through the Bank Sentiment Cleaning and then run Bank Sentiment Analysis.

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