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.
Object | Description |
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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'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Subjective Analysis API REST API, simply include your bearer token in the Authorization header.
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 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.
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