Verbal Expression Analyzer API

API ID 2985

The Verbal Expression Analyzer API swiftly classifies text as positive, negative, or neutral, offering real-time insights for informed decision-making.

100% uptime 205 ms avg response

API Documentation

Endpoints

Request

To use this endpoint you must specify a text to parse the text.

Endpoint ID: 3142
POST https://pr213-testing.zylalabs.com/api/2985/verbal+expression+analyzer+api/3142/analyzer
INPUT PARAMETERS

Analyzer — Endpoint Features

Object Description
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
{
  "outputs": {
    "positive": 0.9899274110794067,
    "neutral": 0.5682284832000732,
    "negative": 0.009371413849294186
  },
  "truncated": false
}
Analyzer — CODE SNIPPETS

curl --location --request POST 'https://pr213-testing.zylalabs.com/api/2985/verbal+expression+analyzer+api/3142/analyzer' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "labels": [
        "positive",
        "negative",
        "neutral"
    ],
    "text": "Embrace the day with a positive mindset! Your potential is limitless, and each moment is an opportunity for growth and joy. Seize the day with optimism and let your posaitive energy shine.."
}'

    

API Access Key & Authentication

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 Verbal Expression Analyzer API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

Simple Transparent Pricing

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Minimum annual contract: USD 10,000

Trusted by leading companies

About the API:  

In the ever-evolving landscape of digital communication, understanding the sentiment behind text has become an essential aspect of data analysis and decision making. The Verbal Expression Analyzer API is at the forefront of this technological advancement, offering a powerful tool for users looking to gauge the emotional tone of textual content. With the ability to classify text as positive, negative or neutral, this API opens up new avenues for extracting meaningful information from large amounts of unstructured data.

The core functionality of the Verbal Expression Analyzer API lies in its ability to accurately classify text into positive, negative or neutral categories. Leveraging sophisticated natural language processing algorithms, the API comprehensively analyzes the semantic nuances of input text, providing nuanced and accurate sentiment predictions.

Time is often of the essence in decision-making processes. The Verbal Expression Analyzer API works in real time, providing fast results that enable instant insight. Whether processing social media feeds, customer feedback or user-generated content, the API ensures timely sentiment analysis.

Seamless integration is one of the cornerstones of the Verbal Expression Analyzer API. Developers can easily incorporate the API into their applications, websites or backend systems, enabling a smooth and efficient integration process.

In conclusion, the Verbal Expression Analyzer API is a valuable asset for any organization that wants to extract meaningful information from textual data. With its accurate sentiment classification, real-time analysis capabilities, customization options, scalability and seamless integration, the API enables users to make informed decisions based on a deep understanding of the emotional tone conveyed in textual content.

What this API receives and what your API provides (input/output)?

You will have to enter a text and it will provide you with a plain text.

 

What are the most common uses cases of this API?

  1. Social Media Monitoring: Analyze sentiment in social media posts to understand public opinion and track brand perception.

    Customer Reviews: Evaluate sentiment in customer reviews to gauge satisfaction and identify areas for improvement.

    Market Research: Conduct sentiment analysis on market trends and competitor activities for strategic insights.

    Brand Reputation Management: Monitor sentiment surrounding a brand in real-time to proactively manage online reputation.

    Political Discourse Analysis: Analyze sentiment in political discussions to understand public opinions and track political trends.

Are there any limitations to your plans?

Besides the number of API calls available for the plan, there are no other limitations.

Verbal Expression Analyzer API FAQs

To use this API, the user must enter a text to receive a sentiment analysis.

The Verbal Expression Analyzer API is a sophisticated tool designed to analyze and interpret the emotional tone and sentiment conveyed in textual content.

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 Analyzer endpoint returns sentiment classification data for the input text, indicating the likelihood of it being positive, negative, or neutral.

The key fields in the response data include "positive," "neutral," and "negative," each representing the probability score for the respective sentiment classification.

The response data is structured in a JSON format, with an "outputs" object containing the sentiment scores for positive, neutral, and negative classifications.

The Analyzer endpoint provides sentiment analysis results, quantifying the emotional tone of the input text into three categories: positive, negative, and neutral.

Users can customize their requests by varying the input text they provide to the Analyzer endpoint, allowing for sentiment analysis on different types of content.

Data accuracy is maintained through advanced natural language processing algorithms that analyze semantic nuances, ensuring reliable sentiment predictions.

Typical use cases include monitoring social media sentiment, evaluating customer feedback, conducting market research, and analyzing political discourse.

If the input text is too short or lacks context, the API may return lower confidence scores. Users should ensure the text is sufficiently descriptive for accurate analysis.

General FAQs

To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.

You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.

The free trial lasts for 7 days and allows you to make up to 50 API requests.

No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.

Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.

Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.

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Prices are determined by a recurring monthly or yearly subscription, depending on the chosen plan.
API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.
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