Text Sentiment Analyzer API

Text Sentiment Analyzer API

The Text Sentiment Analyzer API is a powerful tool for analyzing and understanding the sentiment of text data.

API description

About the API:

The Text Sentiment Analyzer API is a powerful tool for analyzing and understanding the sentiment of text data. It uses advanced natural language processing techniques to classify text as positive, negative, or neutral, making it easy to understand the opinions and emotions expressed in large volumes of text data. This API is designed to help businesses, researchers, and developers gain valuable insights from customer feedback, social media posts, and other text-based data sources.

One of the key benefits of this API is its ability to automatically classify large volumes of text data quickly and accurately, without the need for manual analysis. This makes it an ideal tool for businesses and researchers who need to process and analyze large amounts of text data on a regular basis.

The API can be used to analyze text data in a variety of languages, including English, Spanish, German, French, Italian, and many more. This makes it a versatile tool for businesses and researchers working with text data from a wide range of sources.

Additionally, the API allows for customization of the sentiment analysis model by fine-tuning it with your own dataset, this can increase the accuracy of the results for specific industries or use cases.

In summary, the Text Sentiment Analyzer API is a powerful, easy-to-use tool that allows businesses, researchers, and developers to quickly and accurately understand the sentiment of text data. It can be used to gain valuable insights from customer feedback, social media posts, and other text-based data sources, and it's a versatile tool that can be used to analyze text data in a variety of languages, making it a valuable asset for any organization looking to gain a deeper understanding of their text data.

 

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

This API will receive the text to analyze, and it will deliver the sentiment based on a confidence score. 

 

What are the most common uses cases of this API?

  1. Social media sentiment analysis: The Text Sentiment Analyzer API can be used to analyze social media posts and comments in order to understand the sentiment of users towards a particular brand, product or service. This can be used to identify areas of improvement or to track the effectiveness of a marketing campaign.

  2. Customer feedback analysis: The API can be used to process customer feedback, reviews, and survey responses in order to understand the overall sentiment of customers towards a business, product or service. This can help to identify areas of improvement and increase customer satisfaction.

  3. Brand reputation management: The API can be used to track and analyze online mentions of a brand in order to understand the overall sentiment towards the brand and take action to improve it if needed.

  4. News and media analysis: The API can be used to analyze news articles and media coverage in order to understand the sentiment of journalists, publications, and the public towards a particular topic or event.

  5. Financial market sentiment analysis: The API can be used to analyze news articles and social media posts related to stocks and other financial assets in order to understand the sentiment of investors and traders, which can help to predict market trends.

  6. Chatbot and virtual assistant sentiment analysis: The API can be used to understand the sentiment of users interacting with chatbots and virtual assistants to provide a better and more personalized service, and also identify potential issues or complaints.

 

Are there any limitations to your plans?

Besides API call limitations per month, there are no other limitations.

API Documentation

Endpoints


Get the sentiment that any phrase or expression contains.

Do you want to check if the text is Neutral, somewhat positive or if it's a negative sentence? Use this endpoint. 

 

Endpoint JSON response example (positive):

{

    "sentiments_detected": [

        {

            "neg": 0,

            "neu": 0.764,

            "pos": 0.236,

            "compound": 0.5719,

            "sentence": "After some time, I remembered what she said, and all of a sudden I'm happy."

        }

    ],

    "sentiment": "positive",

    "success": true

}
 
 

Endpoint JSON response example (negative):

{

    "sentiments_detected": [

        {

            "neg": 0.274,

            "neu": 0.726,

            "pos": 0,

            "compound": -0.7518,

            "sentence": "My team lost this weekend, I bet a lot of money on them, my wife is going to be so mad."

        }

    ],

    "sentiment": "negative",

    "success": true

}
 
 



                                                                            
POST https://zylalabs.com/api/1011/text+sentiment+analyzer+api/852/sentiment+analyzer
                                                                            
                                                                        
Sentiment Analyzer - Endpoint Features
Object Description
text [Required] Pass the sentence whose sentiment you want to detect.

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 Text Sentiment Analyzer API REST 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.


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Service Level
100%
Response Time
854ms

API Provider: MV

Useful links:


Category:

NLP

Tags:


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