Are you wondering which are the advantages and disadvantages of using text analysis APIs? Then, read to the end because here we will share our point of view!
Nowadays, the work that humans used to do by hand is now automated by machines. This has meant an increase and optimisation of time and human resources, as automatization has freed us from tedious tasks. When talking about company data, this has been crucial.
Traditional ways of manually analyzing text data are simply not scalable as information grows by the second. As a result, an increasing number of businesses are using machine learning approaches to replace this task. You may improve the speed, scalability, and accuracy with which you analyse text data in by employing text analysis models powered by machine learning.
APIs are the simplest approach for developers to take advantage of text analysis, as they have come to be a really handy third-party solution. These software programs can do text extraction and text classification to gain insights from your website.
For example, they can extract information from your text data that already exists, such as keywords, brand, company or client information, and classify it in order to know what patterns or frequency exist. Thus, they can also understand them, so they are able to identify sentiments based on that information, too.
There are really almost none disadvantages of using text analysis APIs, but you do have to take into account that when using them you should know exactly what you are looking for. Only a good research of information can guarantee your results are accurate. Otherwise, you could end up with a lot of data you do no know how to use.
Where Can I Get This?
So, in order to introduce you to the text analysis API world, we will now present to you the best platform you can use: Klazify.
This text analysis API scans a website’s content and meta tags using a machine learning (ML) engine. It uses natural language processing to extract text to classify the site and give up to three categories (NLP). Its taxonomy of categorization is also based on the IAV B2 standard, and it can be used for 1-to-1 personalisation, marketing segmentation, internet filtering, and other applications.
As a result, there are three top-level category hierarchies from which to pick on this platform. It can assist you in finding the best solution, whether you require the comprehensive categorization of the IAB taxonomy or prefer a reduced category structure.
Furthermore, Klazify will create the response using JSON, PHP, or Python, allowing you to use it for data analysis and machine learning, web development, automation or scripting, and software testing and prototyping, among other things.
Finally, our online categorization API is designed in a user-friendly manner, allowing users to get answers in a matter of minutes. This is why we strongly advise anyone just getting started with Python to use Klazify.
How To Use It?
So, to make things even easier for you, we’ll go over the steps you’ll need to take to use it correctly:
- To get an API key, go to www.klazify.com and fill out the form.
- Find and copy any domain you want to analyze in your chosen field. Submit it once you’ve confirmed that you’re not a robot.
- The API response will then be sent to you in one or more computer languages, including Python.
- Find the information you require and apply it as needed.
We’ve already walked you through advantages and disadvantages of using text analysis APIs. Start trying Klazify and see how it results for you!