[Corpora-List] EmoText - Software for opinion mining and lexical affect sensing

maxwell maxwell at umiacs.umd.edu
Wed Dec 21 17:13:07 UTC 2011


On Wed, 21 Dec 2011 11:15:52 -0500, Ken Litkowski <ken at clres.com> wrote:
> As the purveyor of what I wish was a commercial-grade system, known as 
> Minnesota Contextual Content Analysis (MCCA), I can comment on Michal's 
> 85% vs 82% dichotomy. Analyzing tweets or microblogs and sentiment has 
> become the research topic du jour. I was intrigued to examine how MCCA 
> might fare off the shelf against a very elaborate rule-based system 
> developed at Xerox-PARC for classifying tweets into questions and 
> not-questions. I've described this comparison on my blog 
> (http://www.clres.com/blog/?p=195), where the accuracy levels were 67% 
> vs. 62%. 

I must have misread s.t. in your blog.  It sounded like you tested on the
training data.  Surely I'm misunderstanding?

   Mike Maxwell

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