Which of the following examples can be solved with unsupervised learning? Group of answer choices

A list of tweets to be classified based on their sentiment, the data has tweets associated with a positive or negative sentiment.

A spam recognition system that marks incoming emails as spam, the data has emails marked as spam and not spam.

Segmentation of students in ‘Technical Aspects of Big Data’ course based on activities they complete. The training data has no labels.