Are you looking for the most efficient tools for text analysis and dataclassification using some excellent APIs? Check this post out!
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.
You can obtain anything you want by using a URL or email. Any kind of elements that come to your mind: logos, company data, locations, and more.
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. 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 analyse and extract information from extremely complex data sources, this may not be the best option.
But if you want to text analyse more basic sources and categorize them, this API will be extremely helpful. At the end it all depends on your needs.
3. SpaCy
SpaCy is a text analysis API that narrows down the options for you by only showing the best algorithm for each task.
Also, it comes with several pre-trained models for tasks like named entity recognition, text classification, and part-of-speech (POS) tagging.
Now that you have these three amazing options to use, go for it, try them, and steak with the one you feel the most comfortable with.