The Sentiment Gauge API is designed to examine the sentiment expressed in a text. It discerns the emotional background of textual content, providing valuable information about the attitudes, opinions and emotions expressed by the author. Through accurate sentiment analysis, this API enables users to gain a deeper understanding of textual data, thereby improving decision-making processes and facilitating personalized user experiences.
In essence, the Sentiment Gauge API employs sophisticated algorithms to classify text into distinct sentiment categories, typically spanning positive and negative spectrums. Unlike simplistic keyword matching, this classification is based on the semantic context and nuanced meaning of words and phrases. This nuanced methodology allows the API to capture the complexities of human language, accurately gauging sentiment even in the midst of complex or subtle expressions.
In essence, the Sentiment Gauge API is adept at scrutinizing sentiment within textual data. Leveraging these capabilities, users can gain valuable insights from textual content, encouraging informed decision making and cultivating a deeper understanding of customer attitudes and preferences.
It will receive parameters and provide you with a JSON.
Besides the number of API calls available for the plan, there are no other limitations.
To use this endpoint you must enter a text to obtain a sentiment analysis.
Sentiment analysis - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{"compound":0.6369,"negative":0.0,"neutral":0.323,"positive":0.677}
curl --location --request POST 'https://zylalabs.com/api/3498/sentiment+gauge+api/3832/sentiment+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "I love this day"
}'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
To utilize this API effectively, users are required to input a text for the sentiment analysis process to generate insightful results.
The Sentiment Gauge API is designed to analyze and interpret the emotional content expressed in textual data.
There are different plans to suit all tastes, including a free trial for a small number of requests, but your rate is limited to avoid abuse of the service.
Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.
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