A sentiment classification pipeline can use a parser to annotate important words, such as adjectives and nouns, and then feed the annotated text to a sentiment classifier. The parser annotations can help the classifier weight important words such as "great" more heavily.

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Sentiment classification is the problem of recognizing whether text expresses a positive or negative opinion, such as whether an online product review says the writer liked or disliked the product.

Sentiment Classification

Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.
https://www.deeplearning.ai/machine-learning-yearning/

Note: The content of the book is aligned with the Coursera Deeplearning.ai specialization.  https://www.deeplearning.ai/deep-learning-specialization/ 

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