| Classifier |
A resource that is trained to recognize and categorize document types in a collection. See also text classifier and document classifier. Learn more |
| Document classifier |
A classifier that categorizes documents based on words and phrases that are extracted from the body text fields with information from enrichments that are applied to the body text taken into account. |
| Data source |
The source of data itself, such as a database or XML file, and the connection information necessary for accessing the data. Learn more. |
| Domain-specific |
Relating to terms and concepts that have special meaning to an industry or business. In tennis, for example, the term love has a special meaning. |
| Enrichment |
The enhancement of data by adding relevant context to documents. For example, tagging terms that mention city names or famous people as locations or people of interest. |
| Facet |
A category that is used to filter search results. Learn more |
| Regular expression |
A set of characters, meta characters, and operators that define a string or group of strings in a search pattern. Learn more. |
| Stop word |
A word that is commonly used, such as the, an, or and, that is ignored by a search application. Learn more. |
| Text classifier |
A classifier that categorizes documents based on words and phrases that are extracted from the body text. |