Sentiment
Enable this model configuration to analyze speaker sentiment based on spoken text (Lexical Emotion Analysis) is the response inside the sentiment key
Sentiment Analysis will help you interpret and quantify if the conversation in the audio or video is Positive, Very Positive, Negative, Very Negative or Neutral. It also provides you a measure as to how subjective the conversation is with a subjectivity score.
Sentiment
Description
Example
Very Positive
a statement or sentence that is highly positive
"Brilliant work John, you really came through."
Positive
a statement or a sentence that is marginally positive
"Okay let's hope everything is fine."
Neutral
a statement or a sentence that is neutral
"..sure I will do that tomorrow"
Very Negative a statement or sentence that is highly positive
a statement or sentence that is highly negative
"I don't think that will happen today"
Negative
a statement or a sentence that is marginally Negative
"I am not happy with the outcome.."

Example Response

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{
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"status": true,
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"error": {},
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"data": {
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"sentence": "At Marsview we build things that change things",
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"avgSentiment": "Neutral",
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"avgPolarity": 0,
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"avgSubjectivity": 0,
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"content": [
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{
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"phrase": "At Marsview we build things that change things",
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"sentiment": "Neutral",
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"polarity": 0,
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"subjectivity": 0
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}
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]
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}
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}
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Response Object

Field
Description
avgPolarity
Average Polarity score of the given content. This value ranges between -1 and 1. Where -1 is Very negative and 1 is Very positive
avgSentiment
Average predicted sentiment of the given content
avgSubjectivity
Average Subjectivity of the given content
content
A list of sentences/trascriptions for which sentiment has been predicted. This would typically only have one object for realtime analysis
phrase
The sentence for which sentiment has been predicted
polarity
Polarity score of the given content. This value ranges between -1 and 1. Where -1 is Very negative and 1 is Very positive
sentiment
Predicted sentiment of the given content based on the polarity
subjectivity
A scale of how much the sentence is based on facts and figures. A high subjectivity indicates that the information given by the speaker is not based on facts and that it is highly subjective.
sentence
The sentence for which sentiment has been predicted
Last modified 7d ago