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

[Justin Washtell]

"I would be very sad if this movie did not win a prize."					high_neg
"I'm very happy that the other reviewers have seen this movie for what it is: rubbish."		high_pos

Rather than (unfairly) singling out this system, I think these examples serve to highlight that this is a very difficult (if not impossibly ill-defined) problem. One cannot just assess the polarity of a statement - one needs to know something about what the object of interest is. In the above cases we are probably interested in [the writer's opinion of] the movie... but that fact is of course *pragmatic* information.

I'm out of my depth now, so I'll say no more :-) No doubt much has been written on these issues.

Justin Washtell
University of Leeds

________________________________________
From: corpora-bounces at uib.no [corpora-bounces at uib.no] On Behalf Of Angus Grieve-Smith [grvsmth at panix.com]
Sent: 16 December 2011 17:25
To: corpora at uib.no
Subject: Re: [Corpora-List] EmoText - Software for opinion mining and lexical affect sensing

On 12/16/2011 9:01 AM, Alexander Osherenko wrote:
> You didn't test the approach for complex sentences. I always used the
> example "I am very sad if ..."

     I don't want to nitpick, but that's not a very nativelike example
for a test sentence.  I've only heard English speakers use "I am very
sad if ..." in habitual or generic contexts, and even then "I get very
sad when ..." is much more common.  "I would be very sad if ..." is also
used.  Maybe check your test sentences against the CoCA or something?

--
                                -Angus B. Grieve-Smith
                                grvsmth at panix.com


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