Text Classification API

Text Classification API

Text Classification API is a tool for organizing unstructured text data into predefined categories. It uses machine learning algorithms to analyze and categorize text data, making it easier to organize and understand.

API description

About the API:

The Text Classification API is a powerful tool for organizing unstructured text data into predefined categories. The API uses advanced machine learning algorithms to analyze and categorize text data, making it easier to understand and manage. This is particularly useful for applications that deal with large amounts of unstructured text data, such as news websites, content management systems, and customer service platforms.

One of the key benefits of the Text Classification API is its ability to automatically categorize text data into predefined categories. This helps to structure and organize text data, making it easier to search, filter, and analyze. The API can be used to categorize text data into a wide range of categories, from simple topics such as "sports" or "politics" to more complex categories such as "finance" or "technology".

Another advantage of the Text Classification API is its ability to handle large amounts of text data in real-time. The API can process multiple pieces of text data at once, making it possible to categorize and manage large volumes of text data quickly and efficiently. This can be particularly useful for applications that require fast processing of large amounts of text data, such as news websites or customer service platforms.

In conclusion, the Text Classification API is a valuable tool for organizing and managing unstructured text data. With its ability to categorize text data into predefined categories, handle large amounts of text data in real-time, and use advanced machine learning algorithms, it is an ideal solution for a wide range of applications.

 

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

Pass the text that you want to categorize. 

 

What are the most common uses cases of this API?

  1. Sentiment Analysis - Determine the emotional tone of a text message, tweet, or product review.

  2. Spam Detection - Classify incoming email messages as spam or not spam.

  3. News Categorization - Organize news articles into categories such as sports, politics, or entertainment.

  4. Topic Classification - Classify documents, blog posts, or news articles into specific topics or subjects.

  5. Language Detection - Automatically detect the language of a given text.

  6. Intent Classification - Determine the user's intent in a customer service chatbot or virtual assistant conversation.

 

Are there any limitations to your plans?

Besides API call limitations per month, there is no other limitation. 

API Documentation

Endpoints


Classify text into product categories or contact us to customize and use your own category sets. Enter some text to find its related product categories:
 
 



                                                                            
POST https://zylalabs.com/api/1215/text+classification+api/1055/categorize
                                                                            
                                                                        

Categorize - Endpoint Features
Object Description
text [Required] Enter some text to find related categories.
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"keywords":["chair","comfort","protect","feature","hot","level","cool","flow","air","hour"],"categories":["Office Chairs","Chairs","Arm Chairs","Dental Chairs","Examination Chairs","Massage Chairs","Optometry Chairs","Sleeper Chairs","Kneeling Chairs","Rocking Chairs"],"keywords_scored":{"chair":2,"comfort":2,"protect":1,"feature":1,"hot":1,"level":1,"cool":1,"flow":1,"air":1,"hour":1},"categories_scored":{"Office Chairs":0.12218738666666668,"Chairs":0.09718418666666667,"Arm Chairs":0.07978628666666666,"Dental Chairs":0.07978628666666666,"Examination Chairs":0.07978628666666666,"Massage Chairs":0.07978628666666666,"Optometry Chairs":0.07978628666666666,"Sleeper Chairs":0.07978628666666666,"Kneeling Chairs":0.07978628666666666,"Rocking Chairs":0.07978628666666666},"taxonomy_set":"product_categories","version":"7.5.1","author":"twinword inc.","email":"[email protected]","result_code":"200","result_msg":"Success"}
                                                                                                                                                                                                                    
                                                                                                    

Categorize - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1215/text+classification+api/1055/categorize?text=Protect your back with these ergonomic office chairs. These adjustable chairs are cushioned and molded to ensure comfort over long hours. Some options feature breathable backs that let air flow through to keep you cool and add to your comfort level on hot days.' --header 'Authorization: Bearer YOUR_API_KEY' 

    

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 Classification 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
3,632ms

Useful links:


Category:

NLP

Tags:


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