The best technique to classify any text in real-time is to use an application programming interface (API). We’ll show you how to use an API in this article.
When we talk about text classification it refers to the practice of categorizing text into ordered groupings. Text classifiers use Natural Language Processing (NLP) to automatically analyze text and assign pre-defined tags or categories depending on its content.
Nowadays, it is too important to classify text because you can filter important data and with it, you can use it for automating your operations. This technology is one of the best technologies for businesses because it employs artificial intelligence, the most effective technology in the industry.
But, how to do it? An application programming interface (API) is the best solution if you don’t know how to classify text in real-time. APIs are beneficial to businesses because they allow them to get high-quality data in real-time, making their job more effective and productive.
How Does An API Work?
An application program interface (API) is a way for programs to communicate with one another. An API, in simple terms, is a messenger that sends your request to the service provider and then returns the result.
However, because there are so many APIs to choose from, it might be difficult to locate the right one. We understand how difficult it is to find an API because not all of them function in the same way or provide false information. As a result, we have compiled the best APIs for you to get accurate results.
1-Klazify
Klazify is a powerful API for classifying any text in real-time data since it examines a website’s content and meta tags using artificial intelligence (AI) techniques like machine learning (ML), then extracts text to categorize the site and give up to three categories (NLP). It also collects data in real-time from a variety of sources and makes it available through a URL, email address, or domain.
Furthermore, you can obtain logo APIs, market categories, company data including employee ranges, location and technology used, and domain security levels through this program. Before assigning website text to one of the 385+ IAB V2 topic groupings, Klazify evaluates it. The API is also available in JSON, Python, and PHP formats.
2-MonkeyLearn
MonkeyLearn employs machine learning for text analysis. It allows our users to swiftly extract actionable information from unstructured text. For example, you can detect subjects or attitudes conveyed in tweets, chats, reviews, articles, and more.
MonkeyLearn can be combined with hundreds of different applications because of its direct interfaces and open API. All of this may be accomplished without the assistance of programmers or data scientists!
3-uClassify
uClassify is a free machine learning web tool that lets you develop and deploy text classifiers quickly and efficiently.
The classifier may classify anything; for example, it can classify spam, sentiment, and web page classification. There is no limit to how many classifications a classifier can have. New training data and classifications can be introduced in real-time because classifiers are thread-safe (readers/writers lock). A URL can provide information on language, topic analysis, sentiment analysis, and age.
Also published on Medium.