How to read the sentiment response json data

As you can see from the above responses, there are two common data points available in both the responses :

Sentiment Polarity:
It is the score generated by Symbl.ai’s algorithm to determine the polarity of this score . The overall polarity can range from -1 to +1 .

Sentiment Suggested :
This is the suggested sentiment for the sentence by the Symbl’s sentiment models . For the above example it is “Positive”.

Polarity Ranges and corresponding sentiment suggestion:

As Symbl’s sentiment polarity ranges from -1 to +1 , given below are the suggestions for the sentiment .

Polarity Suggested Sentiment
-1.0 => x > -0.3 negative
-0.3 => x <= 0.3 neutral
0.3 < x <= 1.0 positive

The above ranges are both suggestions as well as indications, for example, a message with -0.4 score is negative , but one with -0.9 is highly negative .

This way symbl has given power to the developers and product personas to further classify the sentiments as per their use case .