Aaron Schon wrote:
...I was wondering if taking a bag of words approach might work. For example chunking the
sentences to be analyzed and running a Lucene query against an index storing sentiment
polarity. Has anyone had success with this approach? I do not need a super accurate
system, someth
an <[EMAIL PROTECTED]>
To: java-user@lucene.apache.org
Sent: Saturday, March 1, 2008 6:35:04 AM
Subject: Re: Lucene for Sentiment Analysis
We've been working on Sentiment Analysis. We use GATE and Wordnet for the
lexical / semantic analysis and J Free Charts for the visualization. The
domain
We've been working on Sentiment Analysis. We use GATE and Wordnet for the
lexical / semantic analysis and J Free Charts for the visualization. The
domain is reviews on retail banking and in general our accuracy is around
75% and recall around 25%
We tried out lingpipe as well which also gave good
Hi
I remember doing it once a long time ago (Lucene 1.9) but could not go
anywhere since term vectors and such were not easily accessible then.
However, if text analytics is what you are after, perhaps you already
know about LingPipe. I used it for named entity extraction (enhanced
with some
Hello, I was interested to learn about using Lucene for text analytics work
such as for Sentiment Analysis. Has anyone done work along these lines? if so,
could you share your approach, experiences, accuracy levels obtained etc.
Thanks,
AS
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