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If an item of content has been created in one of the languages listed below, Fuse is able to process the text within the content and extract entities. An entity is a piece of information that is present somewhere in the content body that matches predefined categories, such as Person, Date, Company or File type, which Fuse can transform into a tag. These tags are then used to help users find this content quickly in searches.
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These also allow Fuse to do query snapping, in which Fuse automatically applies filters and facets to search results.
For example, a Word document might contain the following sentence: "John Smith of ACME Corp, has created this Word document about how his company successfully designed and produced their first electric car in 2020". Fuse might scan this sentence within the Word document and add the following tags to make it easier to find:
- 2020 (Date)
- John Smith (Person)
- ACME Corp (Company)
- Word Document (File type)
The following languages are supported when extracting entities:
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