hossman wrote:
>
>
> but are you sure that example would actually cause a problem?
> i suspect if you index thta exact sentence as is you wouldn't see the
> facet count for "si" or "que" increase at all.
>
> If you do a query for "{!raw field=content}que" you bypass the query
> parsers (which is respecting your stopwords file) and see all docs that
> contain the raw term "que" in the content field.
>
> if you look at some of the docs that match, and paste their content field
> into the analysis tool, i think you'll see that the problem comes from
> using the whitespace tokenizer, and is masked by using the WDF
> after the stop filter ... things like "Que?" are getting ignored by the
> stopfilter, but ultimately winding up in your index as "que"
>
>
> -Hoss
>
>
Yes your are right, que? que, que... i need to change the analyzer. They are
not detected by the stopwords analyzer because i use the whitespace
tokenizer, I will use the StanadardTokenizer
Thanks Hoss
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