On Mar 18, 2010, at 2:44 PM, caman wrote: > > 1) Took care of the first one by Transformer.
This is often also something done by a classifier that is trained to deal with all the statistical variations in your text. Tools like Weka, Mahout, OpenNLP, etc. can be applied here. > 2) Any input on 2 please? I need to store # of views and popularity with > each document and that can change pretty often. Recommended to use database > or can this be updated to SOLr directly? My issue with DB is that with every > SOLR search hit, will have to do DB hit to retrieve meta-data. Define often, please. Less than a minute or more than a minute? > > Any input is appreciated please > > caman wrote: >> >> Hello all, >> >> Please see below.any help much appreciated. >> 1) Extracting data out of a text field to assign a category for certain >> configured words. e.g. If the text is "Google does it again with Android" >> and If 'Google' and 'Android' are the configured words, I want to b able >> to assign the article to tags 'Google' and 'Android' and 'Technical' . Can >> I do this with a custom filter during analysis? Similarly setting up >> categories for each article based on keywords in the text. >> 2) How about using SOLR as transactional datastore? Need to keep track of >> rating for each document. Would 'ExternalFileField' be good choice for >> this use-case? >> >> Thanks in advance. >> > > -- > View this message in context: > http://old.nabble.com/dynamic-categorization---transactional-data-tp27790233p27949786.html > Sent from the Solr - User mailing list archive at Nabble.com. > -------------------------- Grant Ingersoll http://www.lucidimagination.com/ Search the Lucene ecosystem using Solr/Lucene: http://www.lucidimagination.com/search
