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

Fri Dec 16 16:03:46 UTC 2011

Hi Justin,

thank you for your suggestion.  Before I rewrite the contents for
unexperienced users I wanted to show you the site and to hear your comments.

I don't think that the work in semantic affect sensing is some day so good
that you can say "there is nothing to do anymore".  The language is so
multifold that it is impossible. I can add more words as "crap" or
"unimpressed" but it is not the issue.

What I am trying to sell is an approach and a method to enrich it. I can
say now what grammatical core to use -- a consumer has to do his part and
add more emotion words or phrases.  In my opinion, nobody will be ever able
to sell a finished product although many people would claim they are doing
so.

Alexander

2011/12/16 Justin Washtell <lec3jrw at leeds.ac.uk>

> Hi Alexander,
>
> Thanks for the very attentive and informative response. There is no doubt
> that this is a tough problem area, and I have absolute respect for anybody
> working towards a solution. Of course, without having yet read your
> publications I cannot fully appreciate the gains that you have made. But I
> think therein lies the point I was really alluding to...
>
> The demos as they presently stand seem at odds with the very strongly
> worded "sales pitch" of your site. Partly perhaps because they are
> difficult for the non-technical user to understand, and partly perhaps
> because of they are so easily thwarted. No doubt this performance is indeed
> hampered by some of the limitations you have just identified, but you do
> present them as a product rather than as a work-in-progress.
>
> Might it be better to put these particular demos on a more honest and
> informative site aimed at a technical/academic audience (i.e. where you can
> freely to acknowledge their limitations). And then - while I am somewhat
> loath to encourage it - you could conjure up something that is a little
> more "on rails" for your business site?
>
> Justin Washtell
> University of Leeds
>
> ________________________________________
> From: osherenko at gmail.com [osherenko at gmail.com] On Behalf Of Alexander
> Osherenko [osherenko at gmx.de]
> Sent: 16 December 2011 14:01
> To: Justin Washtell
> Cc: Corpora at uib.no
> Subject: Re: [Corpora-List] EmoText - Software for opinion mining and
> lexical affect sensing
>
> Hello Justin,
>
> Thanks for your comments.
>
> 1. Statistical demo.
>
> The goal is to measure the opinion of a reviewer for a particular movie
> review. It is typical to measure opinion using number of stars. You can go
> to www.reelviews.net<http://www.reelviews.net> and convince yourself.
>
> Many part results show what you would get if you extract particular
> features. For example, you can extract stylometric features and get A
> stars. You can extract lexical features and get B stars. The final result
> (majority or average) is calculated on the basis of the part results.
>
> You can extract stylometric, deictic, grammatical, lexical features
> calculated on the basis of the review and analyze your review using, for
> example, NaiveBayes. As a part result you can also optimize feature space
> or fuse results using BayesNet.
>
> 2. Semantic demo.
>
> I don't think you are doing something wrong. But you have to know: it is
> only a demo and BTW I also want to learn something. :) This demo relies on
> theoretical findings of Leech and Svartvik "A Communicative Grammar of
> English" and has to be extended to analyze real-life utterances. Hence,
> your examples are very helpful.
>
> I don't want to show how many words I use for analysis. Although I use
> about 4000 words it is not enough. "I'm fairly unimpressed" -- the word
> "unimpressed" is not in the dictionary that's why "only" neutral. You might
> want to try "It is not good" or "It is good" and its variants if it is not
> too trivial for you. Big dictionaries are not the issue because I can
> extend my dictionaries accordingly. I also didn't use big slang
> dictionaries.
>
> In contrast, I want to show that combinations of negations, intensifiers,
> emotion words are sufficient to analyze affect. For example, in the example
> "This demo is far from brilliant." the word "far" can be considered as
> negation and the combination <negation><emotion word> calculates the
> desired meaning. In other example "couldn't be better", there is something
> that concerns comparative and has to studied more thoroughly in future.
>
> You didn't test the approach for complex sentences. I always used the
> example "I am very sad if ..."
>
> Best
> Alexander
>
> 2011/12/16 Justin Washtell <lec3jrw at leeds.ac.uk<mailto:lec3jrw at leeds.ac.uk
> >>
> Hello Alexander,
>
> I tried both of your demos out of interest.
>
> For the first demo I used the default options (the movie reviews and Naive
> Bayes). I did not understand the output, or how it was supposed to relate
> to the various parts of the input (if indeed it is?)
>
> For the second demo I entered the following sentences and received the
> following classifications:
>
> This demo is terrible.                          low_neg
> This demo is no good at all.                    high_pos
> This demo is far from brilliant.                low_pos
>
> This demo is excellent.                         low_pos
> This demo is not bad at all.                    low_pos
> Thid demo couldn't be better!                   low_neg
>
> Am I doing something wrong?
>
> I would presently dispute your claimed "undisputable advantages". I am not
> sure whether your intended customers - who are presumably not language
> technology experts - will require less or more convincing.
>
> Justin Washtell
> University of Leeds
>
> ________________________________________
> From: corpora-bounces at uib.no<mailto:corpora-bounces at uib.no> [
> corpora-bounces at uib.no<mailto:corpora-bounces at uib.no>] On Behalf Of
> Alexander Osherenko [osherenko at gmx.de<mailto:osherenko at gmx.de>]
> Sent: 16 December 2011 08:46
> To: Corpora at uib.no<mailto:Corpora at uib.no>
> Subject: [Corpora-List] EmoText - Software for opinion mining and lexical
>       affect sensing
>
> Dear all!
>
> Recently I made an announcement of a book about opinion mining and lexical
> affect sensing. In this contribution I would like to point you to the
> EmoText demo program that relies on the findings in this book. It was
> implemented for the European CALLAS project.
>
> The link is:
> www.socioware.de/products.html<http://www.socioware.de/products.html><
> http://www.socioware.de/products.html>.
>
> I apologize for some advertising.
>
> Kind regards
> Alexander Osherenko
>
>
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