You mentioned in your original post "I'd like to obtain the original text
without stop words"

The stopword-less phrase will indeed be present in the index after the
analysis phrase, however, when you ask for this content back as a result of
a query, the original text will be returned. What is indexed is not
necessarily what is stored/returned.

Cheers,

Ivan


On Thu, Aug 28, 2014 at 12:30 PM, Germán Carrillo <[email protected]
> wrote:

> Thanks Ivan,
>
> do you mean what I obtain from a request such as
>
> curl -XGET
> 'localhost:9200/_analyze?tokenizer=keyword&filters=lowercase,my_ascii_folding,my_stopwords'
> -d 'El corregimiento de Mulaló, jurisdicción del municipio de Yumbo
> (Valle del Cauca)'
>
> is not what will be present in the index after the analysis process? If
> so, how could I check whether the stop words filter is being (will be)
> applied to a sample phrase?
>
>
> 2014-08-28 14:03 GMT-05:00 Ivan Brusic <[email protected]>:
>
>> Also note that the content returned will still contain the stop words.
>> Only the inverted index will contain the stopword-less content.
>>
>> --
>> Ivan
>>
>>
>> On Thu, Aug 28, 2014 at 11:55 AM, Itamar Syn-Hershko <[email protected]>
>> wrote:
>>
>>> What would be the usecase for such a process (removing stop words
>>> without tokenization)?
>>>
>>> This may be a good read btw:
>>> http://www.elasticsearch.org/blog/stop-stopping-stop-words-a-look-at-common-terms-query/
>>>
>>> --
>>>
>>> Itamar Syn-Hershko
>>> http://code972.com | @synhershko <https://twitter.com/synhershko>
>>> Freelance Developer & Consultant
>>> Author of RavenDB in Action <http://manning.com/synhershko/>
>>>
>>>
>>> On Thu, Aug 28, 2014 at 9:48 PM, German Carrillo <
>>> [email protected]> wrote:
>>>
>>>> Hi all,
>>>>
>>>>
>>>> I'm looking for a way to remove stop words from tokens returned by a
>>>> keyword tokenizer, i.e., I'd like to obtain the original text without stop
>>>> words after the analysis process.
>>>>
>>>> Sample data looks like:                         "El corregimiento de
>>>> Mulaló, jurisdicción del municipio de Yumbo (Valle del Cauca)"
>>>> After the lowercase token filter:           "el corregimiento de
>>>> mulaló, jurisdicción del municipio de yumbo (valle del cauca)"
>>>> After the ascii folding token filter:        "el corregimiento de
>>>> mulalo, jurisdiccion del municipio de yumbo (valle del cauca)"
>>>> After removing stop words:                   "corregimiento mulalo,
>>>> municipio yumbo (valle cauca)"
>>>>
>>>> The stop words (currently) are:      ["la", "el", "de", "del", "los",
>>>> "las", "jurisdiccion"]
>>>>
>>>> Is the pattern replace token filter the only (or best) way to go for
>>>> such a task?
>>>>
>>>> I'd really like to avoid writing custom regular expressions rather than
>>>> specifying a stop words list, which I know would work perfectly fine for
>>>> other tokenizers.
>>>>
>>>>
>>>> Regards,
>>>>
>>>> Germán
>>>>
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