An Approach to Automatic Recognition of Web Advertising Focused on Different Languages

Technology has revolutionized marketing models in recent years. This paper presents the operation of an algorithm for the identification of advertisements on the Web-focused in different languages. The tests were carried out in four languages: English, French, Portuguese, and Italian. It was found that advertisements on the Web distract, steal or inconvenience the attention of users, so identifying them, and if possible blocking them, is essential. For the test, three aspects to be evaluated were considered: brand, product, or service, and how to capture the attention of users. Based on this identification, we sought to provide the user with privacy and comfort in their continuous navigation.