BTC Website Classification

Fast and hassle-free website classification

We use machine learning and deep learning to automatically classify websites.

Do you have questions? Contact us!

Statystyki

Zaktualizowano 2024-12-21 17:00:01
Strony skategoryzowane 10,732,850
Strony dodane (dzisiaj) 99
Użytkowników 769
Zapytań o kategorię (dzisiaj) 4,660,070

Ostatnio skategoryzowane strony

Strona Kategoria Prod.* CERT Hazard Język Przek. ** SSL Kat. Strukt. ***
https://rocketaxxonu.tumblr.com Rozrywka X X X ✓ X ✓ ✓ ✓
https://comicfury.com Pornografia X X X ✓ X ✓ X ✓
https://avatardistortedreality.tumblr.com Rozrywka X X X ✓ X ✓ ✓ ✓
https://avatardistortedreality.thecomicseries.com Gry X X X ✓ X ✓ ✓ ✓
https://tekstualni.pl Zdrowie, Uroda i Moda X X X ✓ X ✓ ✓ ✓
https://101sukienek.pl Zakupy i Ogłoszenia X X X ✓ X ✓ ✓ ✓
http://printlikethis.com Hazard X X X ✓ ✓ ✓ ✓ ✓
http://lux-wash.pl Motoryzacja i Środki Transportu X X X ✓ X ✓ ✓ ✓
http://joannakepa.com Ludzie i Media Społecznościowe X X X ✓ X ✓ ✓ ✓
http://elevel.pl Zakupy i Ogłoszenia X X X ✓ X ✓ ✓ ✓
*Pages considered productive by default.
**Signifies redirection
***Indicates an analysis of the site for correct structure.

BTC Website Classification

21 categories

Pages are classified based on their actual content on a recurring basis and assigned to one of 21 categories.

Effectiveness > 95%

The high efficiency of the classification is due to the artificial intelligence algorithms used and the database of keyword patterns built within each category.

Classification 24h / day, 365 days a year

The classifier works nonstop.

Quality

The ability to classify each page containing content.

High speed

Standard classification speed > 10 pages / sec. and can be increased as needed.

Number of items in the catalog

The catalog of classified sites is constantly expanded with current classification and is available in the cloud for free use in other solutions via API.

Available API

The classifier can be used in other solutions – API available.

BTC Website Classification

Why should you choose it?

Automation and efficiency

Current methods are based on subjective evaluation of the operator, URL rules or on ready-made URL pattern databases. They are hardly effective in practice. The BTC Website Classification solution allows you to classify any website in no time. The BTC Website Classification solution allows you to classify any website in no time. This is important if the site, for example, changes ownership.

High speed and quality

BTC Website Classification works great in professional IT management and IT security solutions. Classification of the site is very fast and is carried out using three independent classification algorithms that allow to constantly develop the effectiveness.

Support for Polish and 51 other languages

BTC Website Classification classifies a website based on its content in Polish and English. Other foreign classifiers can’t cope with the Polish language.

Productivity and safety

Classified websites also return information on the productivity and security of the analyzed site. Websites are checked for potential dangers, including detecting sites that can phish for data, or sites blocked by the government, such as those with gambling themes

API

BTC Website Classification provides an API for use in its own solutions, such as for the purpose of blocking sites from a selected category (such as pornography).

Sublines and redirects

BTC Website Classification goes after sub-links and bookmarks when there is not enough data on the homepage and handles redirects to other sites.

BTC Website Classification

How does the website classifier work?

Downloading a list of URLs to categorize

The addresses are sent to the classifier.

Downloading the page content

The page code is downloaded for later analysis.

Cleaning the site code from unnecessary information

The page code is cleaned of unnecessary data, such as repeated words and HTML tags.

Machine Learning: identifying keywords that determine the nature of the site

After clearing the code of unnecessary components, the words (keywords) that define the nature of the site will remain.

Deep Learning: Analyzing a web page based on the created neural network

Data processing to enhance the effectiveness of the deep learning model.

Machine Learning: assessing the severity of keywords of defined categories

Recurring keywords are assigned to categories based on the dictionary, and the number (saturation) of words within each category is determined.

Deep Learning: a global assessment of a website in relation to the entire site context

When analyzing a Web page, the entire context of the page is taken into account, which allows more effective analysis of multi-topic pages.

Determining the site's classification

The site is assigned to the category identified as most likely.

BTC Website Classification

Check out the video about our classifier

BTC Project EU