Subjective Analysis API is a sophisticated natural language processing tool designed to analyze and interpret the emotional tone of written content. In a digital landscape dominated by user-generated text, this API is critical for users seeking nuanced insight into the sentiments expressed in various forms of textual communication.
In essence, the Subjective Analysis API excels at discerning emotions, ranging from joy and sadness to anger and neutrality, within text. By providing detailed analysis of emotional nuances, the API enables a deeper understanding of the sentiment prevalent in user-generated content.
Text polarity assessment is a key feature of the API, providing information on whether the sentiment expressed is positive, negative or neutral. This capability is invaluable for companies that want to evaluate customer feedback, reviews and social media comments to inform decision-making processes.
In addition to polarity, the API performs subjectivity analysis, distinguishing between objective and subjective content. This nuanced approach is crucial for identifying opinions, preferences and personal views embedded in text.
The API provides fine-grained sentiment scores, offering a detailed breakdown of sentiment expression. This granularity enables a more accurate understanding of the emotional spectrum present in text, contributing to a more nuanced interpretation.
In essence, the Subjective Analysis API is a sophisticated and indispensable tool for understanding and interpreting sentiment expressed in textual content. Its advanced features, such as emotion detection, text polarity assessment, subjectivity analysis and detailed sentiment scores, make it a valuable asset for users seeking to better understand users' sentiments and improve their decision-making processes.
It will receive parameters and provide you with a JSON.
Social Media Monitoring: Analyze sentiments expressed on social media platforms in real-time to gauge public reactions, track trends, and manage brand reputation.
Customer Feedback Analysis: Automatically assess sentiments in customer reviews, surveys, and feedback to gain insights into customer satisfaction and identify areas for improvement.
Chatbot Enhancements: Integrate sentiment analysis into chatbots to enable them to understand and respond appropriately to user emotions, enhancing the overall user experience.
Content Moderation: Use sentiment analysis in content moderation systems to filter and flag content with negative sentiments, ensuring a positive and safe online environment.
Market Research: Apply sentiment analysis to market research efforts, extracting valuable insights from consumer opinions to inform product development, marketing strategies, and competitive analysis.
Besides API call limitations per month, there is no other limitation.
To use this endpoint you must enter a text and you will get a sentiment classification.
Analyze text - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
[{"id":"1","predictions":[{"prediction":"positive","probability":0.97917}]}]
curl --location --request POST 'https://zylalabs.com/api/3216/subjective+analysis+api/3439/analyze+text' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '[
{
"id": "1",
"language": "en",
"text": "I love this game"
}
]'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime.
To use this API, users must enter a text to obtain a classification of the text.
The Subjective Analysis API is a natural language processing tool designed to analyze textual content and determine the level of subjectivity present in the language.
There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent 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.
The Analyze Text endpoint returns a JSON object containing sentiment classifications for the input text. It includes predictions of the emotional tone, such as positive, negative, or neutral, along with associated probabilities.
The key fields in the response data include "id," which identifies the request, and "predictions," an array containing the sentiment classification and its corresponding probability score.
The returned data is in JSON format. It consists of an array of objects, each containing an "id" and a "predictions" array, where each prediction includes a "prediction" label and a "probability" score.
The Analyze Text endpoint accepts a single parameter: the text to be analyzed. Users can customize their requests by providing different text inputs to evaluate various sentiments.
The response data is organized as a JSON object with a top-level array. Each object in the array contains an "id" and a "predictions" array, which holds the sentiment classification and its probability.
The Subjective Analysis API utilizes advanced natural language processing algorithms trained on diverse datasets to ensure accurate sentiment analysis. Continuous updates and training help maintain data quality.
Typical use cases include social media monitoring, customer feedback analysis, chatbot enhancements, content moderation, and market research, allowing businesses to gain insights into user sentiments.
Users can leverage the returned sentiment classifications and probabilities to inform decision-making, enhance user experiences, and identify trends in customer feedback or social media interactions.
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