How to get nicer data from vaderSentiment?

I know I can get this from vader: {'neg': 0.071, 'neu': 0.895, 'pos': 0.034, 'compound': -0.296}

but is their a way to get just the overall result? Say for instance {'Positive'} or {'Negative'}

also... what do I look up to see everything I can do with vader? Like a list of functions or something.

Solution

The compound score is computed by summing the valence scores of each word in the lexicon, adjusted according to the rules, and then normalized to be between -1 (most extreme negative) and +1 (most extreme positive). This is the most useful metric if you want a single unidimensional measure of sentiment for a given sentence.

You can then set thresholds for negative[-1, 0), neutral[0, 0.5) and positive[0.5, 1] to classify them into categories. For example:

def get_category(compounded):
if compounded < 0:
    return 'negative'
elif compounded < 0.5:
    return 'neutral'
else:
    return 'positive'

Choose thresholds that would work best for your data and use case.