EasyNLPnlp-166

Sentiment Lexicon Score

Problem

Return the sum of lexicon polarities for the tokens present, divided by the total token count.

Tokens missing from the lexicon contribute 0, and an empty token list gives 0.0.

Hint

Polarities can be any real weights, so the score can exceed 1 or drop below 0.

case 1

in: [["i","love","this"],{"love":1,"hate":-1}]

expected: 0.3333333333333333

case 2

in: [["i","hate","it"],{"love":1,"hate":-1}]

expected: -0.3333333333333333

case 3

in: [["love","hate"],{"love":1,"hate":-1}]

expected: 0

case 4

in: [[],{"a":1}]

expected: 0

case 5

in: [["ok"],{"ok":2}]

expected: 2

Starter codePython

def sentiment_lexicon_score(tokens, lexicon):
    # Your code here
    pass

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