In the realm of digital communication, understanding the sentiment behind the text is crucial for users, social media platforms, and customer service applications. The Text Feeling Detector API emerges as a transformative tool that allows you to decode the emotional tone embedded in text data. This comprehensive API leverages advanced natural language processing (NLP) algorithms to discern sentiments, providing valuable insights into users' opinions, emotions, and attitudes.
The Text Feeling Detector API employs cutting-edge machine learning models to accurately detect sentiment in text, categorizing it as positive, negative or neutral. This capability allows companies to measure customer satisfaction, track brand sentiment, and identify areas for improvement.
Beyond basic categorization of feelings, the API offers detailed analytics that provide insights into specific emotions like joy, sadness, and more. This nuanced approach improves understanding of user sentiments, allowing businesses to tailor their responses accordingly.
With low latency and high processing speeds, the API makes it easy to track reviews in real time. Users can track changes in opinions, respond quickly to emerging trends, and engage with users in a timely manner, improving the overall customer experience.
The API goes beyond superficial analysis, considering context and tone in its sentiment assessments. This contextual understanding allows for more accurate sentiment classification, especially in situations where meaning may be influenced by surrounding text.
The Text Feeling Detector API is a game-changer when it comes to deciphering the emotional landscape of textual data. With its accurate sentiment detection, detailed analysis, and real-time monitoring capabilities, users can make data-driven decisions, improve customer engagement, and stay in tune with the ever-evolving sentiments expressed in the digital sphere. This API is not just a tool; It is the key to unlocking actionable insights from the vast sea of textual information, guiding businesses to success in a sentiment-driven landscape.
It will receive parameters and provide you with a JSON.
Customer Feedback Analysis: Evaluate sentiments in customer reviews, comments, and surveys to understand satisfaction levels and improve products or services.
Brand reputation management: Monitor online conversations to gauge public sentiment about a brand, enabling proactive reputation management.
Social media monitoring: Analyze real-time sentiment across social media platforms to engage with users, address concerns, and shape marketing strategies.
Market research: Gain insight into market trends by analyzing sentiment expressed in industry-specific content, aiding strategic decision making.
Employee feedback evaluation: Evaluate sentiments in employee feedback to gauge workplace satisfaction and identify areas for improvement.
Basic Plan: 1,000 API Calls. 200 words per requests.
Pro Plan: 2,000 API Calls. 200 words per requests.
Pro Plus Plan: 4,000 API Calls. 200 words per requests.
To use this endpoint you must indicate a text.
Emotion analysis - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
{"status":"ok","error":null,"data":{"score":-2,"comparative":-0.5,"calculation":[{"sad":-2}]}}
curl --location --request POST 'https://zylalabs.com/api/2937/text+feeling+detector+api/3080/emotion+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "I am very sad"
}'
| 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 the user must indicate a text to analyze the emotions of the text.
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.
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.
The Text Feeling Detector API is an advanced tool designed to analyze text and determine the emotional tone or sentiment conveyed within it.
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