Here's a systematic bibliography which is 2 years old

http://liinwww.ir...

I've built two apps that do text sentiment classification: one for
financial news and one for tweets about products.  Both worked OK, and
both were based on supervised learning algorithms applied to the
output of statistical text processing and shallow parsing....   One of
them won an award ;-)

http://newsblaze....

If you have more specific questions on the domain feel free to ask me.
 If you want to contract out some work building a text sentiment
classifier for some particular domain, **definitely** feel free to ask
me 8-D

The hard problems, like recognizing sarcasm or grokking complexly
embedded statements, remain basically unsolved for practical
purposes... but you don't need to solve those problems to do a decent
job....  And the narrower your domain the better you can tune your
algorithms

-- Ben Goertzel

On Fri, Sep 11, 2009 at 5:29 PM, Manch <[address removed]> wrote:
> Hi AI-ers,
>
> I have this problem in mind that I hope people on this list can give some
> insights on. I want to know what is the state of the art on determining the
> sentiment of a piece of text.
>
> For example, "I hate chicken" is pretty negative, but "I hate chicken less
> than pork" is not as negative on chicken as the first example, but still
> pretty negative. It is also very negative on pork.
>
> To do a good job, just counting "positive" and "negative" words is not
> enough. Words can be negated for example. "It doesn't suck" is not negative
> even though "suck" is a negative word. It seems to me at least some basic
> understanding of semantics is necessary.
>
> I notice there are some startups that claim to have algorithms that does the
> job, so I suppose it is not really out there. Can people point me to some
> textbooks or survey papers that lay out the pros/cons of various approaches?
> Are there open source code that deals with such problems?
>
> Thanks in advance.
> Manch
>
>
>
>
>
> --
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[address removed]

"Truth is a pathless land" -- Jiddu Krishnamurti