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Twitter is a large social media platform that allows users to share short (280 character) text posts (Tweets) with other users across the platform. Topics include those from Natural Language Processing (NLP) including text data, sentiment analysis, topic modeling, text summarization/extraction, social media language models, etc.

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How does one go about feature extraction for training labelled tweets for sentiment analysis?

Feature Extraction is an important step when dealing with natural languages because the text you've collected isn't in a form understandable by a computer. If you have a tweet that goes something like …
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