To be fair, that part does not seem NLP search at all. Can you explain more why it is NLP ?
Pretty sure you can get what you want playing properly with Json Faceting[1]. You can model your Solr schema in an appropriate way and then playing with range queries and Json faceting at different levels. If you want to see them visually Banana[2] is another good solution for that. Cheers [1] http://yonik.com/json-facet-api/ [2] https://github.com/LucidWorks/banana On 29 January 2016 at 14:44, Swap Social <swapsoc...@gmail.com> wrote: > Hi > > I am in the Facebook advertising domain, trying to build a natural language > search engine using Apache Solr and IBM Watson Retrieve and Rank service. I > currently have my data in a Postgresql database, where the tables are named > by company, fb_ad_revenue, targeting_info, etc. which are updated daily. I > would like the system to support queries like what are my top performing > ads, revenue vs spend for the last five days, etc. How should I go > about importing > the data into Solr? > > Swapnil > -- -------------------------- Benedetti Alessandro Visiting card : http://about.me/alessandro_benedetti "Tyger, tyger burning bright In the forests of the night, What immortal hand or eye Could frame thy fearful symmetry?" William Blake - Songs of Experience -1794 England
