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Multiple Choice

Which measure indicates how often a word appears in a specific document relative to that document's length?

The main idea is measuring how common a word is within a single document while accounting for how long that document is. Term Frequency does exactly that: it counts how many times a word appears in the document and then divides by the total number of words in that document, giving a proportion that reflects its relative presence. This normalization lets you compare word importance across documents of different lengths. For example, if a 1,000-word document has 20 occurrences of a word, its TF is 20 divided by 1,000, yielding 0.02. Raw counts or Bag of Wordsrepresentations can show how many times a word occurs, but they don’t inherently express frequency relative to document length, and a Dictionary (Heuristic) approach isn’t about this within-document frequency measure.

The main idea is measuring how common a word is within a single document while accounting for how long that document is. Term Frequency does exactly that: it counts how many times a word appears in the document and then divides by the total number of words in that document, giving a proportion that reflects its relative presence. This normalization lets you compare word importance across documents of different lengths. For example, if a 1,000-word document has 20 occurrences of a word, its TF is 20 divided by 1,000, yielding 0.02. Raw counts or Bag of Wordsrepresentations can show how many times a word occurs, but they don’t inherently express frequency relative to document length, and a Dictionary (Heuristic) approach isn’t about this within-document frequency measure.