Can you choose a binary feature matrix for a binary classification model

This may be a stupid, but, I am new to deep learning (and machine learning for that matter) and I can't seem to find any literature to help with my question. All I can see when Googling many different questions (trying to change keywords to try get a hit on my question) is about binary classification. And also, binary classification where the feature matrix consists of real numbers.

I would like to know, is it possible to build a binary classifier with a binary feature matrix? And please can you point me to some literature.

Topic machine-learning-model deep-learning binary machine-learning

Category Data Science

1
answered at

I'm not aware of any literature specific to the case of classification based on binary features since it's just a subset of the general case, but it's definitely possible.

A very common example is traditional text classification, where the document is represented as a bag of words: there are different options but each word in the vocabulary can be represented as a boolean variable, representing whether it belongs to the document or not. For example (among many others), a Bernoulli Naive Bayes classifier can be trained on such data.

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