Question: How does topic modeling use unsupervised techniques for text analysis? Group of answer choices They use latent variables in labeled data to predict the labels

How does topic modeling use unsupervised techniques for text analysis?
Group of answer choices
They use latent variables in labeled data to predict the labels for unlabeled data.
They remove latent variables underlying the text data that could create an incorrect interpretation of the corpus.
They use a squared error loss to estimate factors for observations that are mostly zeros.
They generate latent variables underlying the text data using a large corpus of labeled and unlabeled data.

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