Python Idle
Every review, tweet, and comment carries emotion. Sentiment analysis is the art of teaching machines to detect it. You have 500 movie and product reviews labeled as positive or negative. Your mission: vectorize the text, train a classifier, and build a model that can tell happy customers from unhappy ones. Welcome to one of NLP's most practical applications.
~15 minscenario500 rows
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Goals: 3 tests
should create a trained model
should achieve accuracy above 0.75
predictions should have the correct length
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