An easy Guide to basic Twitter Sentiment Analysis (Python Tutorial)
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Social media data from sites like Twitter or Reddit can be a useful component of an automated trading strategy to detect favorable or unfavorable public sentiments towards an asset. These sentiments can be used as a ‘trade filter’ to narrow down the number of available trading options and find the most suitable ones.
Retrieving raw data from the social media site Twitter can be intimidating: There are multiple authentication methods, different access levels and several Python libraries to choose from. But in reality performing basic sentiment analysis with Twitter data is actually quite easy — if you know how to do it. :)
If you would like to learn how to perform basic sentiment analysis with tweets, check out this post.
This story is solely for general information purposes, and should not be relied upon for trading recommendations or financial advice. Source code and information is provided for educational purposes only, and should not be relied upon to make an investment decision. Please review my full cautionary guidance before continuing.
