The MeaningCloud Text Classification API assigns one or more categories to a text using domain-specific taxonomies. The RESTful API uses GET or POST (POST is recommended) over HTTP/S with returns in JSON and XML. The Text Classification API performs pre-classification tasks like: extracting text, tokenization, stopword removal and lemmatization. Using rule-based filtering and statistical document classification, the API can perform accurate classification across a wide range of environments. See the documentation for information on how the Text Classification model works, and what taxonomies are supported.
The following is a list of sample source code snippets that matched your search term. Source code snippets are chunks of source code that were found out on the Web that you can cut and paste into your own source code. Whereas most of the sample source code we've curated for our directory is for consuming APIs, we occasionally find something interesting on the API provider side of things. If you know of some sample source code that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.
The MeaningCloud Text Classification Shell Sample Code demonstrates how to make POST requests call the API, previous to access with an API Key. With the API, developers can include text classification in applications.
The MeaningCloud Text Classification Python Sample Code demonstrates how to import requests to access the API with an API Key. Developers can implement text classification features into websites and applications.