Text Sentiment Analysis
Enable this model configuration to analyze text sentiment based on (Lexical Emotion Analysis) is the response inside the sentiment key
Sentiment Analysis will help you interpret and quantify if the conversation or text 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.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" |
Negative | a statement or a sentence that is marginally Negative | am not happy with the outcome.." |
Very Negative | a statement or sentence that is highly negative | "I don't think that will happen today" |
post
https://api.marsview.ai/text/sentiment
/get_sentiment
Returns the predicted sentiment for a given sentence
Shown below is a code snippet to send a request for the sentiment analysis
curl --location --request POST 'https://api.marsview.ai/text/sentiment/get_sentiment' \
--header 'Content-Type: application/json' \
--data-raw '{
"jwtToken": "Insert JWT token Key",
"sentence": "Insert your sentence for sentiment detection here",
"userId" : "[email protected]"
}'
Shown below is a sample JSON response from the above request.
{
"status": true,
"error": {},
"data": {
"sentence": "I love building things that change things",
"avg_sentiment": "Very Positive",
"avg_polarity": 0.5,
"avg_subjectivity": 0.6,
"content": [
{
"phrase": "I love building things that change things",
"sentiment": "Very Positive",
"polarity": 0.5,
"subjectivity": 0.6
}
]
},
"userId": "[email protected]"
}
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 / transcriptions for which sentiment has been predicted. This would typically only have one object for real-time 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 |