In the vast landscape of digital content, discerning the sentiment behind the words is a crucial aspect of understanding user opinions, making informed decisions and shaping effective communication strategies. The Language Mood Analysis API emerges as a fundamental tool, designed to effortlessly determine whether a given text conveys positive or negative sentiment. This API encapsulates the power of natural language processing, offering developers and businesses a valuable mechanism for gaining insight into the emotional tone of textual content.
The Language Mood Analysis API employs advanced machine learning algorithms to accurately classify the sentiment of a given text, distinguishing between positive and negative emotions with precision.
Beyond simple polarity, the API excels in contextual understanding. It takes into account the nuances of language, ensuring a more comprehensive analysis that captures the subtleties of sentiment in different contexts.
By operating in real time, the API allows users to seamlessly integrate sentiment analysis into applications where immediate knowledge of user sentiment is essential. This is especially valuable for social media monitoring, customer feedback analysis and real-time communication platforms.
In an era where understanding user sentiment is paramount for users, the Language Mood Analysis API emerges as a powerful ally. By leveraging advanced natural language processing techniques, this API provides a seamless solution for classifying textual sentiments, offering valuable insights into user emotions. Whether applied to social network monitoring, customer feedback analysis, brand reputation management, product launches or news and media monitoring, the Language Mood Analysis API is a testament to the intersection between technology and human expression, offering a tool that stands out for its accuracy, versatility and real-time applicability.
It will receive parameters and provide you with a JSON.
Social Media Monitoring: Analyze sentiments in social media posts to understand public perception and engagement with your brand or product.
Customer Feedback Analysis: Automate the analysis of customer reviews and feedback to identify and respond to positive and negative sentiments.
Brand Reputation Management: Monitor online mentions to manage and maintain a positive brand reputation, addressing negative sentiments promptly.
Product Launch Monitoring: Analyze sentiments around new product launches to gauge customer reactions and make informed business decisions.
News and Media Monitoring: Incorporate sentiment analysis into news monitoring to understand public sentiments on specific topics, events, or personalities.
Besides the number of API calls, there are no other limitations.
To use this endpoint you must enter a text in the parameter.
Object | Description |
---|---|
text |
[Required] |
{"score": -0.29, "text": "I do not like this product", "sentiment": "WEAK_NEGATIVE"}
curl --location --request GET 'https://zylalabs.com/api/2931/language+mood+analysis+api/3072/mood+analyzer?text=I do not like this product' --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 Language Mood 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.
The Language Mood Analysis API is a powerful tool designed to analyze and classify the emotional tone or mood expressed in a given 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.
Sure, you can use it and pay only when you use it. The credit can’t be expired.
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.
To use this API the user must indicate a text to analyze the mood.
Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.
Prices are listed in USD. We accept all major debit and credit cards. Our payment system uses the latest security technology and is powered by Stripe, one of the world’s most reliable payment companies. If you have any trouble with paying by card, just contact us at [email protected]
Sometimes depending on the bank's fraud protection settings, a bank will decline the validation charge we make when we attempt to be sure a card is valid. We recommend first contacting your bank to see if they are blocking our charges. If more help is needed, please contact [email protected] and our team will investigate further
Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.
Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.
Just go to the pricing page of that API and select the plan that you want to upgrade to. You will only be charged the full amount of that plan, but you will be enjoying the features that the plan offers right away.
Yes, absolutely. If you want to cancel your plan, simply go to your account and cancel on the Billing page. Upgrades, downgrades, and cancellations are immediate.
You can contact us through our chat channel to receive immediate assistance. We are always online from 9 am to 6 pm (GMT+1). If you reach us after that time, we will be in contact when we are back. Also you can contact us via email to [email protected]
Service Level:
100%
Response Time:
1,281ms
Service Level:
67%
Response Time:
284ms
Service Level:
100%
Response Time:
1,116ms
Service Level:
100%
Response Time:
4,587ms
Service Level:
100%
Response Time:
3,236ms
Service Level:
100%
Response Time:
139ms
Service Level:
75%
Response Time:
278ms
Service Level:
100%
Response Time:
838ms
Service Level:
100%
Response Time:
921ms
Service Level:
100%
Response Time:
449ms
Service Level:
100%
Response Time:
3,488ms
Service Level:
100%
Response Time:
297ms
Service Level:
100%
Response Time:
513ms
Service Level:
93%
Response Time:
2,116ms
Service Level:
100%
Response Time:
1,938ms
Service Level:
100%
Response Time:
1,078ms
Service Level:
100%
Response Time:
259ms