Sentiment Analysis Confidence Scores about stanford-corenlp-python HOT 4 OPEN

@AlexFine it represents the probabilities for "--(very negative)", "-", "0", "+", "++" sentiment in the sentence.
Please see https://nlp.stanford.edu/sentiment/ for more details.

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Hi, I had the same question but I think I figured it out
with the setting:
nlp = StanfordCoreNLP('http://localhost:9000')
res = nlp.annotate(some_sentence, properties={ 'annotators': 'sentiment', 'outputFormat': 'json', 'timeout': 1000, })
The result: res is structured in the way:
res['sentence'] = [result_first_sentence, result_second_sentnce, ..., result_last_sentence]
and you can look into the result for each sentence, the result is output in a dict format with keys

['index',
 'parse',
 'basicDependencies',
 'enhancedDependencies',
 'enhancedPlusPlusDependencies',
 'sentimentValue',
 'sentiment',
 'sentimentDistribution',
 'sentimentTree',
 'tokens']

And the 'sentimentDistribution' should be the one you are looking for
so if you are interested in the sentiment distribution of the first sentence, then:
res['sentences'][0]['sentimentDistribution']

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@vacous What does the sentimentDistribution represent? I receive an array of five numbers? Do you know what those five numbers mean?

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@vacous thanks

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