As of now we have implemented Autosuggestion, Stop Words, Synonyms Words, Custom Index Creation. let's implement Porter Stemming & Lower Case for search. Porter Stemming : In this implementation search will reduce any of the forms of a word such as "talks, talking, talked" or "read, reading" to their elemental roots "talk" and "read".And it will only consider root words for search. We can follow below steps to implement this. Create analyzers node : type - nt:unstructured Create default node : type - nt:unstructured Create filters node : type - nt:unstructured Create PorterStem node : type - nt:unstructured Lower Case : It converts any uppercase letters in a token to the equivalent lowercase token. All other characters are left unchanged. Example : In: "Down With CamelCase" Tokenizer to Filter: "Down", "With", "CamelCase" Out: "down", "with", "camelcase" We can follow below steps to implement this. Create analyzers node : type - nt:unstructured Create default node : type - nt:unstructured Create filters node : type - nt:unstructured Create LowerCase node : type - nt:unstructured
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