Thanks, Bruno and Matthew. I saw that tutorial before and Lingpipe requires a license while we are looking at open source solutions. We are not clear yet on how to use Solr to do sentiment analysis. Does a NLP or learning tool have to be used to accomplish this task? If a tool is needed, how it can be integrated with Solr? Then, what are the steps? By using classification? We are new to sentiment analysis and any suggestion is welcomed.
On Sat, Jul 9, 2011 at 4:07 AM, Matthew Painter <matthew.pain...@kusiri.com>wrote: > Note you can't use lingpipe commercially without a license though I > believe. > > Sent from my iPhone > > On 8 Jul 2011, at 18:20, Bruno Adam Osiek <baos...@gmail.com> wrote: > > > Try Lingpipe. They use Language Models as their engine for sentiment > analysis. At (http://alias-i.com/lingpipe/) you will find a step-by-step > tutorial on how to implement it. > > > > On 07/08/2011 07:14 AM, Zheng Qin wrote: > >> Hi, > >> > >> We are starting a project on Twitter data sentiment analysis. We have > >> installed LucidWorks, which also has a Solr admin page. By reading the > >> posts, it seems that sentiment analysis can be done by using OpenNLP or > >> machine learning (Mahout or Weka). Can you share with us which tool is > good > >> at classifying positive/negative tweets? Also how to use it together > with > >> Solr (we only found one posted by Grant on March 16 2010 about > integrating > >> Solr with Mahout). Your reply will be appreciated. Thanks. > >> > > >
