How Semantic Targeting Works
Semantic targeting aims to match the specific context of content on page within a website to an available advertising campaign. A key difference of semantic targeting to a contextual advertising system is that, instead of scanning a page for bided keywords, a semantic system examines all the words and identifies the senses of those words. Because most words are polysemous, i.e. have more than one meaning, without having an understanding of the true context in which words occur, it is possible to incorrectly assign an advertisement where there is no contextual link. A semantic targeting system has to examine all the words before it can accurately identify the subject matter of the entire text and deliver an in context advertisement. For example, if the user is viewing a website relating to golf, where that website uses semantic targeting, the user may see advertisements for golf related topics, such as golf equipment, golf holidays etc. Advertisers can locate their ads in given categories using an ontology (computer science) or taxonomy, ensuring that their ads will only appear in the context that they request.
Semantic targeting is also capable of identifying the sentiment of a webpage, through effective analysis of the language used on page. Sentiment analysis can determine whether content is talking about a subject in a positive or negative light. If the page was being detrimental about a particular subject, the semantic targeting system could deter the placement of a related ad alongside the story.
Other capabilities of a semantic targeting system include the availability of brand protection filtering. This can enable the blocking of an ad placed alongside content of a controversial nature. Such systems can deter placement against such subjects as Adult/Erotica, Alcohol, Nudity, Offensive language, Bad News and other such topics. This would then avoid the potentially brand damaging occurrence of, for example, and airline advertising alongside a story about an air disaster.
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