Contains annotation details specific to text sentiment.
Output only. The sentiment with the semantic, as given to
when populating the dataset from which the model used for
the prediction had been trained. The sentiment values are
between 0 and
(inclusive), with higher value meaning more positive
sentiment. They are completely relative, i.e. 0 means least
positive sentiment and sentiment_max means the most positive
from the sentiments present in the train data. Therefore
e.g. if train data had only negative sentiment, then
sentiment_max, would be still negative (although least
negative). The sentiment shouldn't be confused with "score"
or "magnitude" from the previous Natural Language Sentiment