EasyNLPproj-017

Term Frequency

Problem

Compute relative term frequencies for a document.

Return a dict mapping each unique token to count(token) / len(tokens). An empty token list returns an empty dict.

Hint

Counting first and dividing once is simpler than dividing per token.

case 1

in: [["a","a","b"]]

expected: {"a":0.6666666666666666,"b":0.3333333333333333}

case 2

in: [[]]

expected: {}

case 3

in: [["x"]]

expected: {"x":1}

case 4

in: [["a","b","a","b"]]

expected: {"a":0.5,"b":0.5}

Starter codePython

def term_frequency(tokens):
    # Your code here
    pass

4 test cases · run your code against them in the editor