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data mining- NLP
When a document is indexed, its individual fields are subject to the analyzing and tokenizing filters that can transform and normalize the data in the fields. For example — removing blank spaces, removing html code, stemming, removing a particular character and replacing it with another. At indexing time as well as at query time you may need to do some of the above or similiar operations.
AnalyzersTokenizersTokenFilters - Solr Wiki
Optimizing Findability in Lucene and Solr | Lucid Imagination
Chances are, if you're like me, you didn't grow up dreaming of better ways to find text and data on a website or a hard drive. Heck, you probably didn't even think about it once you were enrolled in college, even if you were a Computer Science student. Truth is, you probably are working on a project that requires you to search your content and now you're wondering how to do just that. Or, perhaps, you already have search working, but your tests and/or your programming instinct tells you it could be better. Even worse, maybe your boss/QA dept.
