Sentiment sounds simple. A reviewer said they liked or did not like something. Label the sentence. The reason it became the canonical NLP task is that every easy-looking case hides a hard one. Negation flips meaning. Sarcasm inverts it. "Not bad at all" is positive despite two negative-coded words. Emojis carry more signal than surrounding text. Domain vocabulary matters (tight in music review versus tight in fashion review).
Sentiment is a working lab for classical NLP. If you understand why every naive baseline has a specific failure mode, you understand why every richer model was invented. This lesson builds a Naive Bayes baseline from scratch, adds logistic regression, and names the traps that make production sentiment a compliance-grade problem.
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