Are you looking for a way for enhancing your academic text productivity? In this post, you will learn all about how content classification APIs can help you!
You may have already heard about APIs and how they can make your life easier. Especially when it comes to data, APIs can be a great way to access information without having to store it yourself.
APIs can take any type of text or HTML as input, and then output structured data in JSON or XML format. Then, the set of outputs will depend on the specific API used to call services, but usually, it includes information about entities present in the input text (websites, brands, companies, etc).
When choosing an API for your data, you should consider why you are collecting the data and what you want to do with it. You need an API that can handle a large amount of data, but also one that can make sense of it all.
There are many factors that contribute to the quality of a text analysis API, but the two most important are: How well it works and how accessible it is.
That is why we recommend you try out these APIs!
1. Klazify
Klazify is one of the most reliable classification APIs that are currently on the market. It is an all-in-one domain data source that helps you easily extract clean and organized information.
With the information provided by Klazify, you can execute important actions such as improving your data, getting to know what kind of actions and strategies are working, which ones are not, and more.
For additional information, go to https://www.klazify.com/#faq
2. Clearbit
This API By dynamically weighing and scoring each data source in real-time is able to make smart decisions about which data source to use for each attribute.
Clearbit analyses billions of data points every day and turn them into standardized and usable attributes.
3. Natural Language Toolkit
This API focuses on research and education. Hence, it is filled with amazing resources such as data sets, pre-trained models, and a textbook that will help you get started.
However, it has some limits. If you want to analyze and extract information from extremely complex data sources, this may not be the best option. But if you want to text analyze more basic sources and categorize them, this API will be extremely helpful. In the end, it all depends on your needs.
Also published on Medium.