Contains annotation details specific to text sentiment.
Attribute
Name
Description
sentiment
int
Output only. The sentiment with the semantic, as given to
the
AutoMl.ImportData
when populating the dataset from which the model used for
the prediction had been trained. The sentiment values are
between 0 and
Dataset.text_sentiment_dataset_metadata.sentiment_max
(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
Analysis API.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-11-19 UTC."],[],[]]
