{"negative":[],"positive":[],"score":0,"scored_words":0,"verdict":"neutral","words":2}
curl --location --request POST 'https://zylalabs.com/api/3194/mood+gauge+api/3414/sentiment+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "Hello world"
}'
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 Mood Gauge 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.
|
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Mood Gauge API is a sophisticated natural language processing (NLP) tool designed to discern and evaluate the emotional tone implicit in textual content. Employing advanced linguistic algorithms and machine learning techniques, this technology enables the automatic extraction of sentiments, emotions and attitudes expressed in written communication. The main goal of a Mood Gauge API is to provide valuable information about the subjective aspects of the text, offering a nuanced understanding of the sentiment conveyed by the author.
In essence, a Mood Gauge API works by analyzing contextual clues, linguistic patterns and semantic structures of a given text. It trains on extensive datasets to recognize and classify sentiment in the text. The system leverages a combination of rule-based algorithms and machine learning models, honed to accurately interpret the complexities of human language.
The sentiment classification phase is where the heart of the Mood Gauge API resides. Using a trained model, the system evaluates the input text and assigns sentiment labels based on patterns learned from the training data. This classification can range from positive sentiments indicating approval or satisfaction to negative sentiments reflecting dissatisfaction or discontent. Neutral sentiments are also recognized in cases where the text lacks a discernible emotional tone.
One of the strengths of Mood Gauge API is their adaptability to various domains and industries. Whether applied to social media monitoring, customer sentiment analysis, brand reputation management or market research, Mood Gauge API provide valuable information that enables decision makers to respond effectively to evolving trends and sentiment. By gauging public opinion and identifying emerging patterns, companies can refine their strategies, improve customer satisfaction and proactively address issues.
In summary, a Mood Gauge API represents a fundamental breakthrough in the field of natural language processing, as it enables the automatic extraction of sentiment from textual content. With applications spanning diverse industries, this technology plays a crucial role in improving decision-making processes, understanding audience sentiment, and revealing valuable information in the vast landscape of human communication.
It will receive parameters and provide you with a JSON.
Social Media Monitoring: Analyzing user comments, tweets, and posts to gauge public sentiment towards a brand, product, or topic.
Customer Feedback Analysis: Evaluating customer reviews and feedback to understand satisfaction levels and identify areas for improvement.
Brand Reputation Management: Tracking online mentions and reviews to manage and enhance the reputation of a brand or company.
Market Research: Assessing market sentiment to understand consumer preferences, emerging trends, and competitor strengths and weaknesses.
Product Launch Evaluation: Analyzing sentiment before, during, and after a product launch to measure reception and make strategic adjustments.
Besides the number of API calls per month, there are no other limitations.
To use this API, users must enter a text to obtain a sentiment analysis.
The Mood Gauge API is a specialized service that utilizes advanced natural language processing (NLP) algorithms to assess and classify the emotional tone or mood expressed in textual content. It provides a systematic way to gauge sentiments and emotions within written communication.
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 Mood Gauge API returns a JSON object containing sentiment analysis results, including classifications of sentiments (positive, negative, neutral), a sentiment score, and details about the words analyzed.
Key fields in the response include "negative" and "positive" arrays for identified sentiments, "score" indicating overall sentiment strength, "verdict" for sentiment classification, and "words" showing the number of words analyzed.
The primary parameter for the Mood Gauge API is the "text" input, which should contain the textual content you want to analyze for sentiment.
The response data is structured as a JSON object with arrays for positive and negative sentiments, a numerical score, a verdict indicating the overall sentiment, and a count of analyzed words, making it easy to interpret.
Typical use cases include analyzing social media comments for brand sentiment, evaluating customer feedback for service improvement, and monitoring market trends to inform strategic decisions.
Data accuracy is maintained through extensive training on diverse datasets, employing advanced NLP algorithms and machine learning techniques to ensure reliable sentiment classification.
In the response, "negative" and "positive" arrays list words associated with each sentiment, "score" quantifies sentiment strength, "verdict" summarizes the overall sentiment, and "words" indicates the total number of words processed.
Users can leverage the returned data to gauge public sentiment, identify trends, and make informed decisions by analyzing the sentiment score and specific word associations in their text inputs.
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.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund