Are you looking for getting started with text analysis in python API? If that is the case, you should read to the end because here we will tell you all about it!
As a reminder, we will say that text analysis is a method that examines your data. You’ll be able to find and uncover trends that will supply your firm with valuable insights and data this way. Artificial Intelligence and Machine Learning techniques are used in text analysis. As a result, companies may make predictions and identify links between various areas of their operations.
Nowadays, there are several programming languages that can be used to obtain answers, like JSON, PHP, or Python. Nevertheless, you should ask yourself which one to use to achieve your goals. For example, Javascript is used to rich interactive web development, while Java is used to enterprise application development.
Python, on the other hand, is a programming language that is commonly used to create websites and applications, automate operations, and perform data analysis. Python is a general-purpose programming language, which means it can be used to develop a wide range of applications and isn’t tailored to any particular problem.
Many people are hesitant to learn to code because they assume it is difficult and requires extensive math expertise. Neither of these statements are correct. If you can write long and complex Excel functions, then learning Python will result in you a lot easier and more intuitive.
Furthermore, there are a number of Python libraries for natural language processing (NLP) that include many built-in functions that will handle the heavy work for you. So, there are really no reasons why you should not use Python, that because of its versatility and beginner-friendliness, has become one of the most widely used programming languages today.
So, in order to help you get started in text analysis with Python with an API, we will introduce you now to the one we consider to be the most accurate API available in the adtech world in 2022: Klazify.
What Is Klazify?
Klazify is a website Categorization API uses a machine learning (ML) engine to scan a website’s content and meta tags. It extracts text to classify the site and assign up to three categories aided by natural language processing (NLP). Its categorization taxonomy is based on the IAV B2 standard as well, and it can be used for 1-to-1 personalization, marketing segmentation, internet filtering, and other applications.
Thus, this platform also offers three top-level category hierarchies from which to choose. It can help you identify the ideal answer, whether you need the IAB taxonomy’s full categorization or prefer a simplified category structure.
In addition, JSON, PHP, or Python will be used to build the response, so you can use Klazify for data analysis and machine learning, web development, automation or scripting and software testing and prototyping, among other things.
Finally, this web categorization API has a user-friendly design that can obtain answers in just a few minutes. This is why we highly recommend Klazify to anyone that is getting started on Python.
How To Use It?
So, in order to make things even easier for you, we will now tell you the steps you need to follow to use it right:
- Sign up for an API key at www.klazify.com.
- Find and copy any domain in your chosen field that you wish to categorize. Once you’ve confirmed that you’re not a robot, submit it.
- You will then receive the API response in one or more programming languages, including Python.
- Find the information you’re looking for and use it as required.
We have already explained to you how to get started with text analysis using a Python API. Start trying it now and take a look at the results!