> So it means that all the classification has to be done prior, on the basis of > user defined scenario.
For proper faceting yes -- this information would either come with each document or would be extracted statically (when indexing each document). I'm sure OpenNLP and other text mining projects have named entity recognition that would be of help here. You may want to check out Grant's book on the subject. http://www.manning.com/ingersoll/ > And automatically this feature is not supported either through carrot or > Lingo3g. Like we have the feature of word-delimiter, hunspell filter etc. Feel free to try Carrot2 (and Lingo3G) on your data. Cluster labels *are* sort of dynamic facet labels, but they are not as "ideal" as statically indexed facets. Also, they are context-dependent (they will be created from scratch for each search result). They are essentially a different tool for a different task (to get a fast glimpse into a larger window of search results, for which static facets are not indexed). Dawid -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/CAM21Rt9WMiVe70HGJATdARRqyFyui2GUO8j3O%2B7NC4n_9JS3CA%40mail.gmail.com. For more options, visit https://groups.google.com/groups/opt_out.
