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Top 3 Machine Learning Algorithms to Categorize a Domain

What are machine learning algorithms?

Machine learning algorithms are a way to create a classification system. Classification is the process of determining which group or category an object belongs to based on some observed features. For example, you could use machine learning to categorize domains as being in the news and media category or not, or you could use it to classify domains as being fraudulent or not.

Domain categorization is useful for filtering out sites that are not relevant to your needs. In the digital world, domain categorization is when a website is categorized by its content. For example, if you’re looking for news and media content, domain categorization can help you filter out domains that don’t provide news and media content.

For example, if you visit CNN.com, you might notice that the site is categorized as “news.” Domain categorization can be useful in many ways, but one of the most common uses is for advertising.

Top 3 Machine Learning Algorithms to Categorize a Domain

Why should you use machine learning algorithms for domain categorization?

Imagine that you sell sports shoes. As an advertiser, you want your ads to appear on websites like ESPN, “sports,” rather than on websites like CNN, that have the “news” tag. You don’t want your ads to appear on the CNN website because people who visit CNN aren’t likely to buy sports shoes.

There are several reasons why you should use a domain categorization API rather than writing your own machine learning algorithms:

  • It’s faster! No time is spent writing your own algorithm and training it. You can just plug in the data and start using it right away.
  • You don’t have to worry about finding enough data or testing it on new data before deploying it live. With an API, there is no need for any of this! The API will do all of this work for you so that you can focus on other things like improving the user experience or building other features into your product.

Here are a few we recommend you try out:

1. Klazify

Top 3 Machine Learning Algorithms to Categorize a Domain

Klazify is a scalable API that categorizes data rapidly and accurately. It is the most feasible method of obtaining real-time information. Furthermore, this API uses artificial intelligence (AI) techniques like machine learning (ML) to scan a website’s content and meta tags for the text and categorize it into up to three groups.

Klazify may get real-time access to high-quality data with simply a URL, domain, or email address. This API gives information about a firm, such as employee volume, revenue ranges, logo, location, tags, applications utilized, and industry type.

2. BytesView

Top 3 Machine Learning Algorithms to Categorize a Domain

BytesView‘s text analysis API is simple to use and can efficiently evaluate user input by analyzing complicated structured or unstructured text data. Using their text analysis tools, you can easily collect text data from a variety of sources and use it to improve your customer support services, employee and customer response solutions, and so on.

2. Talkwalker

Top 3 Machine Learning Algorithms to Categorize a Domain

The Talkwalker API is another fantastic text analysis tool. It claims to offer the best sentiment analysis technology on the market, capable of distinguishing between sarcasm and other ambiguous negative remarks.

Because it can inform you exactly how people view your company’s social media profiles, most people use this tool in combination with their social channels.

You might also like this post:

Get Revenue data using A Company Domain with this API


Also published on Medium.

Published inApps, technology
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