[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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