i am interested to work in sentimental analysis.help me
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That
might help you out. It's simple and concise.
-Original Message-
From: maha [mailto:mahab...@gmail.com]
Sent: Friday, December 16, 2011 12:19 PM
To: solr-user@lucene.apache.org
Subject: Re: Solr sentiment analysis
hai i am dng research in sentimental analysis.pls give you
hai i am dng research in sentimental analysis.pls give your valuable
suggestions.how to start my research
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Hi Lance,
Thanks for the detailed advice. I was reading Weka menu just now and it did
have many classification algorithms. I will start with it and try to follow
the two-part process. Will post again if facing difficulties. Thanks again.
On Sun, Jul 10, 2011 at 7:56 AM, Lance Norskog wrote:
> T
There is much more to learn about sentiment analysis than about Solr.
I suggest getting one of these toolkits yourself, write some code, and
make some charts.
Classification is a two-part process: first make a large dataset of
"positive" & "negative" text and train a model to understand the
differ
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
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 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
>
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
ins