Looking for text classification APIs that work with excellent speed and performance? You’re lucky to have arrived here, because we have the 3 most reliable choices for you! Stay because we’ll explain all about them!
When you work on a supervised machine learning problem with a specific data set, you experiment with various algorithms and techniques to look for models that produce general hypotheses, which then make the most precise predictions about future instances, possible.
Text (or document) classification shares the same principles: a text classifier can be trained using a variety of models. It depends is always the response to the question “Which is the best machine learning model?” Even the most seasoned data scientists are unable to predict an algorithm’s performance without first testing it.
If you are worried about how to find one that will serve you for these purposes, we have the good news that here we have compiled them for you. You just have to try them and see which one suits your business!
Klazify
Network and cybersecurity organizations all over the world use Klazify’s APIs and data feeds to deliver sector-leading risk intelligence and domain categorizations. For instance, using the domain categorization API provided by Klazify, one can delve deeper into network traffic or classify user access logs. In order to supplement the engine, Klazify uses 66 different data feeds.
The content and meta tags of a website are scanned by a machine learning (ML) engine using Klazify’s Website Categorization API. It uses natural language processing to extract text from the website to classify it into up to three categories (NLP).
For clients who require a local option for domain categorization, their offline database is ideal. Examples of typical use cases in an enterprise organization with a high request volume include internal use, custom applications, and hardware/product integrations.
Nyckel API
The integration of THEIR Machine Learning service into your application is completely automated thanks to this fast and secure API. In a matter of minutes, you can train your own hosted machine learning model. The model can be integrated into your application right away after being instantly deployed.
Your ML workflow is tightly integrated by Nyckel UI into data annotation, inspection, and mining. Additionally, top deep learning techniques are trained and assessed on your data in a matter of seconds by fully automated and highly parallelized AutoML.
Find all the information here https://www.nyckel.com/
Text Classification API by MeaningCloud
MeaningCloud’s automated document classification solution is called Text Classification. It classifies texts into one or more categories using either user-defined or common domain-specific taxonomies (like IPTC, IAB, and ICD-10) The algorithm combines rule-based filtering with statistical document classification to achieve high levels of accuracy and flexibility in a variety of settings.
Statistical classifiers offer a way to define each category using examples of documents. The output of statistical classifiers can then be improved and corrected with the aid of rule base classifiers.
When no examples are available, its potent rule-based classification language can be used to bootstrap a categorization.
All the data here https://www.meaningcloud.com/developer/text-classification