[Corpora-List] (no subject)

[P Resnik]

A new dissertation on this topic -- and in fact involving some
experimentation specifically using texts on capital punishment -- was
completed recently:

Stephan Greene, *Spin: Lexical Semantics, Transitivity, and the
Identification of Implicit Sentiment*. Unpublished doctoral dissertation,
Department of Linguistics, University of Maryland, 2007.
http://www.umiacs.umd.edu/~sgreene/SGreeneDissertationFinalDist.pdf

A one-page dissertation abstract is at
http://www.umiacs.umd.edu/~sgreene/SGreeneDissertationFinalDist-Abstract.pdf
.

More generally, you'll want to see the excellent and very comprehensive
monograph recently published by Bo Pang and Lillian Lee:

*
http://www.cs.cornell.edu/home/llee/opinion-mining-sentiment-analysis-survey.html
*


  Philip
  resnik at umd.edu



On Wed, Oct 22, 2008 at 8:44 AM, Anthony Jappy <tony at univ-perp.fr> wrote:

> Hi,
>   I have a colleague who has been manually analyzing texts in order to
> determine whether they are positive or negative with respect to their
> central
> theme. For obvious reasons, he would now like to automate the process.
>   Does anyone know of any way of determining whether the texts in an
> electronic
> corpus are positive or negative with respect to their theme: i.e. given a
> set
> of texts on capital punishment, is there any way of determining reasonably
> accurately whether author A's contribution can be seen as more positive
> than
> author B's, or whether a given text is positive or downright negative? My
> only
> experience in this area is with attempts to replicate with students
> reported
> results concerning semantic prosodies, certainly not the most economical
> way of
> going about the problem mentioned above.
>   There may have been a thread on this problem, but I'm afraid I don't
> recall
> it.
>  Any bibliographical references would be gratefully accepted.
>
>  TJ
>
>
> ****************************************************************************
> Tony Jappy
>
> Department of English and North-American Studies,
> University of Perpignan-Via Domitia,
> 66860 Perpignan Cedex,
> France
> tel :   +33 (0)4 68 66 22 76
> fax :   +33 (0)4 68 66 17 28
> e-mail :                   tony at univ-perp.fr
>
>
> ****************************************************************************
>
>
>
>
>
> --
> Ce message a été vérifié par MailScanner
> pour des virus ou des polluriels et rien de
> suspect n'a été trouvé.
> CRI UPVD http://www.univ-perp.fr
>
>
> _______________________________________________
> Corpora mailing list
> Corpora at uib.no
> http://mailman.uib.no/listinfo/corpora
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.linguistlist.org/pipermail/corpora/attachments/20081022/3023e9c3/attachment.htm>
-------------- next part --------------
_______________________________________________
Corpora mailing list
Corpora at uib.no
http://mailman.uib.no/listinfo/corpora