Are you looking for a good alternative to Google Cloud for text classification? Then check these ones!
Text may be a very rich source of information, but owing to its unstructured nature, extracting insights from it can be difficult and time-consuming. However, developments in natural language processing and machine learning, both of which come under the broad umbrella of artificial intelligence, are making it simpler to sort text data.
Text categorization is a machine learning approach that assigns open-ended text to one of a set of predetermined categories. Text classifiers may be used to organize, arrange, and categorize almost any type of information, including papers, medical research, and files, as well as text found on the internet.
It is believed that over 80% of all information is unstructured, with text being one of the most prevalent kinds of unstructured data. Because text is chaotic, analyzing, comprehending, organizing, and sifting through text data is difficult and time-consuming, thus most businesses do not exploit it to its full potential.
This is where machine learning and APIs for text categorization comes in. Companies may use text classifiers to automatically arrange all types of relevant content, including emails, legal documents, social media, chatbots, surveys, and more, in a quick and cost-effective manner. Companies can save time studying text data, automate business processes, and make data-driven business choices as a result of this.
So, if you wish to employ text classification but don’t know where to start, here we recommend you three of the best APIs with machine learning that will help you with that task:
1. Klazify
This is a well-known URL categorization API that is popular among both professional and non-professional programmers due to its simplicity. Klazify is an API that connects to a domain or URL, gathers data, and categorizes it for one-on-one customization, marketing segmentation, internet filtering, and other applications using an IAB V2 Standard classification taxonomy. As a result of this, the URL or domain may now be classified. If you want to make an image of a brand logo, this tool will come in handy. This may be used for a multitude of applications and can save you a lot of time and money by allowing you to get any logo from a URL in just a few clicks.
2. MonkeyLearn
MonkeyLearn is an easy-to-use machine learning tool that allows you to get started with text categorization straight away by utilizing pre-trained models. The emotion classifier is one of the most popular text classification models, and you can connect to it right now using the MonkeyLearn API.
You may also use MonkeyLearn to simply create custom text classifiers for more accurate insights, and begin recognizing themes, sentiment, intent, and more. You can specify your tags in a few steps, train your model with your own data, then link it to the API with a few lines of code.
3. Aylien
Aylien is an artificial intelligence (AI) platform that provides various text analysis solutions for organizations. You may use the text categorization API to locate themes in documents or webpages automatically.
The API employs two taxonomies: one that tags news and media material using 500 categories, and another that is more focused on advertising and allows businesses to show online adverts in the appropriate areas.
Also published on Medium.