Built-in Suggestion Analyzer plugins

Name	Description
DocumentContentContainsSuggestion	Suggests an option’s value when its label appears anywhere as a substring of the document’s extracted text (case-insensitive), triggering text extraction first if it hasn’t run yet. Stops at the first matching option.
DocumentContentTokenizerSuggestion	Same text extraction as DocumentContentContainsSuggestion, but splits the extracted text into whitespace-separated tokens first and requires an option’s label to exactly match a whole token (case-insensitive) - so a label only matches a full word, not an arbitrary substring, and every distinct matching option across the whole document is suggested, not just the first.
DocumentTermsSuggestion	Matches option labels against the document’s own indexed search terms (LuceneUtils#getTerms) instead of its raw extracted text - so matching benefits from whatever the search engine’s analyzer already did (tokenizing, lowercasing, and so on), rather than a naive word split.

Note

All three treat the select element’s own options as a dictionary of possible values to look for in the document, and return the matching ones’ values so they can be pre-selected as tags. Not wired to a metadata field automatically - it is referenced by canonical class name in the suggestion attribute of a select element in the metadata XML definition. See Creating your own Suggestion Analyzer for the interface and a full example.