- Sentiment analysis (input: product review, output: customer's rating)
- DNA sequence analysis (input: sequence of genetic code, output: protein detection)
- Video activity recognition (input: sequence of activities, output: activity detection)
- Name entity recognition (input: text, output: recognition of all names (people, places) in the given text)

University of Michigan - Ann Arbor

Sequence classification predicts a class label for a given input sequence. Sentiment analysis is one example, which takes a sequence of text and predicts the label for the sentiment (positive or negative). 

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