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Sentiment Analysis
Zia Sentiment Analysis is a part of Text Analytics that processes textual content to recognize the tone of the message, and the sentiments conveyed through it. It analyses each sentence in the text to determine if its tone is Positive, Negative, or Neutral. It then determines the tone of the overall text as one of the these three sentiments, based on the sentiments recognized in each sentence.
The response also returns the confidence scores for each sentence and the overall text, to showcase the accuracy of the analysis.
Execute Sentiment Analysis
Description
You can use this API to perform Sentiment Analysis on a block of text of upto 1500 characters in a single request. You must pass the text in the JSON body of the request, as shown in the sample request.
You can also pass optional keywords for the text. This will enable Sentiment Analysis to process only those sentences that contain these keywords, and determine their sentiments. Other sentences will be ignored.
Request Details
Request URL
{api-domain}/baas/v1/project/{project_id}/ml/text-analytics/sentiment-analysis
Request Headers
Authorization: Zoho-oauthtoken {oauth_token}
content-type: application/json
Optional Headers
CATALYST-ORG: {org_id}
Environment: Development
Scope
ZohoCatalyst.mlkit.READ
Request JSON Properties
Response Details
The response contains the result of individual sentence analysis and the overall text analysis as Positive, Negative, or Neutral, along with the overall confidence score of each analysis. The confidence score lies in the range of 0 to 1.
curl -X POST
https://api.catalyst.zoho.com/baas/v1/project/4000000006007/ml/text-analytics/sentiment-analysis
-H “Authorization: Zoho-oauthtoken 1000.910*************************16.2f*************************57”
-H “Content-Type: application/json”
-d ‘{“document”:"[I love the design of the new model.]",
“keywords”:"[design]"
}’
{
"status":"success",
"data":[
{
"sentiment_prediction":[
{
"document_sentiment":"Positive",
"sentence_analytics":[
{
"sentence":"I love the design of the new model",
"sentiment":"Positive",
"confidence_scores":{
"negative":0.0,
"neutral":0.0,
"positive":1.0
}
}
],
"keyword":"design",
"overall_score":1.0
}
]
}
]
}
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