Look at the screenshot. Its explaining everything.

I have very large amount of tags.
And I need to auto assign\suggest tags for text.
Text for example:
"This is great movie to watch."
So I want to auto assign "movie" tag to this text.

If I have only 10-20 tags its ok to index this text and search for every 
tag.
I will get very intelligent association with stemming and morphology, even 
if tag name is "great watch".
Second solution I found is search in tags by every word from text. But I 
will get poor quality of suggestion.
I will get "good movie", "bad movie" with "movie" search.

I read near topic, looks like he wants something similar. 
https://groups.google.com/forum/?hl=ru#!topic/thinking-sphinx/XxZcT-lUMd8
So it seems sphinx can't help me with it.

пятница, 18 октября 2013 г., 18:29:41 UTC+6 пользователь Walter Davis 
написал:
>
>
> On Oct 18, 2013, at 1:54 AM, Max NudePatch wrote: 
>
> > Greetings. 
> > I have a big amount of tags. Users can post messages with tags 
> associations. 
> > Its ok to associate these tags by hand. But what if i have more than 
> 5000 keywords? 
> > It becomes nightmare. Is there any solution to parse text and retrieve 
> tags automatically? 
> > 
> > Google Answers did this trick before. But it is available only in 
> certain countries. 
> > So here is the screenshot of what i need. 
> > https://www.dropbox.com/s/it2ok7lelahed4o/windows%20ask.png 
> > 
>
> Have you looked at a solution such as acts_as_taggable or any of its newer 
> kin? I'm not sure that Sphinx is the issue here. If you're looking to 
> restrict the tags, or try to get the users to gravitate toward a popular 
> set of keywords, that seems to me to be a separate issue than searching by 
> them later, right? 
>
> Walter 
>
>

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