The bag-of-words model does exactly we want that is to convert the phrases or sentences and counts the number of times a similar word appears. In the world of computer science, a bag refers to a data structure that keeps track of objects like an array or list does, but in such cases the order does not matter and if an object appears more than once, we just keep track of the count rather we keep repeating them.
For example, consider the first phrase from the previous diagram, it has a bag of words that contents words such as channel, with one occurrence, plz, with one occurrence, subscribe, two occurrences, and so on. Then, we would collect all these counts in a vector, where one vector per phrase or sentence or document, depending ...
