What Does Heuristic Filtering Mean?
Heuristic filtering refers to the use of various algorithms and resources to examine text or content in specific ways. The word heuristic describes a type of analysis that relies on experience or specific intuitive criteria, rather than simple technical metrics. The use of high-level algorithms allows for heuristic analysis of content, where humans can program computers to think in certain ways rather than just applying a purely quantitative analysis.
Techopedia Explains Heuristic Filtering
One common type of heuristic filtering is called Bayesian filtering. This is commonly applied to filtering email spam. Bayesian filtering helps a computer to recognize certain words and the likelihood that they’re related to spam. In general, techniques like this involve training the machine to apply a higher-level analysis of content in order to filter out spam.
