The uClassify API allows you to classify text. You might use it to create a spam filter, categorize web pages, automate e-mail support, detect languages, classify a batch of blog posts, and more. uClassify.com was formed to share classifier technology with the masses. Classifiers are usually popular at colleges or companies, so uClassify.com is intended to help spread the word to more people. For a definition of a classifier, see the About page at uClassify.com.
The following is a list of SDKs from our SDK directory that matched your search term. Though your definition of an SDK may differ, in our world, we define SDKs as platform- specific tools for consuming existing APIs of the sort we list in our API directory. For example, the Ruby SDK for consuming the Twitter Ads API. If you think an SDK, API, or other asset is missing from our directory, be sure to check our guidelines for making contributions to ProgrammableWeb.
The uClassify Python SDK by Sibi access data of the API to implement text classification features into applications. With the SDK, developers can create classifiers, classify keywords, and get text information. Installation via pip and clone. Usage shows a classifier named Man or Woman.
The uClassify PHP SDK by Ashwanth Kumar access data to implement classification features into an application. With the SDK, developers can classify texts, get information and create classifier just to mention three operations. Resources include a usage example that shows how to classify a text.
The uClassify Ruby SDK by Manish Chakravarty can access API data with the purpose to implement text classification features into an application. Categorized as a machine learning service, uClassify allows developers to tag documents according to topic, language, and mood.
The uClassify Java SDK by Nabeel Mukhtar can access API data with the aim to integrate machine learning features into an application, specifically text classification. With the kit and the API, developers are able to create their own classifiers related to the topic, language, and mood of a text.