Hello Jorge ,

Here please expand your requirement specifications.
There are couple of things out there which will help you


   1. Stemmers - It will convert all words like "Run , running , ran" ->
   into its baseform . That is run. ES has support for snowball and porterstem
   stemmers -
   
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-snowball-tokenfilter.html#analysis-snowball-tokenfilter
   2. Find similar words like spell check and all using fuzzy query -
   
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-fuzzy-query.html#query-dsl-fuzzy-query
   3. Find words which will look similar when pronounced - Like cool and
   kool. Phonetic tokenizer -
   https://github.com/elasticsearch/elasticsearch-analysis-phonetic
   4. And the last one , the particular example you have quoted , i believe
   you need to use shingle or NGram (
   
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-shingle-tokenfilter.html#analysis-shingle-tokenfilter
   ,
   
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-ngram-tokenfilter.html
   )


Thanks
          Vineeth


On Wed, Jul 9, 2014 at 12:40 PM, Jorge von Rudno <
[email protected]> wrote:

> Hi everybody!!!
>
> first of all I want to comment that at the moment I am a beginner in
> elasticsearch. so, I have the following situation and I don't know if it is
> possible to solve with elasticsearch.
>
> I have a Index that contains for every document the content of a web page.
> I want to develop a query where I give a text and it return the part of the
> field that contains the text. Perhaps with one example I can explain me
> better.
>
> document 1:
> field_Id: 1
> content : "This is one example to search a *text* in a long string"
>
> document 2:
> field_id: 2
> content : "The second example help us to *texting* the function to search"
>
> If I send the word "tex" I will expect to have the return: "text",
> "texting".
>
> Please tell me if elasticsearch is as powerful that can solve this or if I
> have to implement an algorithm to solve it.
>
> In advance thanks a lot.
>
> Regards
>
> Jorge von Rudno
>
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