About the API:
The Text Category Recognizer API is a machine learning service that helps users automatically classify text into various predefined categories. It can be used to sort and organize large amounts of text data, and can also be used to improve search results and provide more relevant recommendations to users. It is easy to use and integrates seamlessly into existing applications.
Pass the text to analyze and receive a confidence score between the predefined categories. Closer to 1 means that the text is more likely to be related to that category.
Content classification: The API can be used to classify text content into specific categories, such as news articles, blog posts, product descriptions, etc. This can be useful for organizing and sorting large amounts of text data.
Document classification: The API can be used to classify documents, such as resumes, into predefined categories based on their content.
Search improvement: The API can be used to classify search queries and results into relevant categories, which can improve the accuracy and relevance of search results.
Recommendation systems: The API can be used to classify items or content into specific categories, which can be used to provide more relevant recommendations to users.
Spam detection: The API can be used to classify text messages or emails as spam or non-spam, which can be useful for filtering out unwanted or irrelevant content.
Besides the number of API calls per month, there are no other limitations.
Pass the text that you want to recognize its category from.
The API will categorize the text and retrieve the confidence score, where closer to 1 means that the text is more likely to be from that category.
Object | Description |
---|---|
text |
[Required] Text to recognize the category from. |
{"keyword":{"computer":4,"study":2,"science":2,"structure":2,"information":2,"compute":2,"cell":1,"design":1,"memory":1,"transcribe":1},"topic":{"computer science":0.5010800744878956,"study":0.3001862197392924,"machine":0.2309124767225326,"system":0.2309124767225326,"human":0.2309124767225326,"art":0.20782122905027933,"technology":0.18472998137802607,"biology":0.18472998137802607,"research":0.18472998137802607},"version":"7.4.2","author":"twinword inc.","email":"[email protected]","result_code":"200","result_msg":"Success"}
curl --location --request GET 'https://zylalabs.com/api/880/text+category+recognizer+api/667/text+categorization?text=Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information, whether such information is encoded as bits in a computer memory or transcribed in genes and protein structures in a biological cell. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.' --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 Text Category Recognizer 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. |
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