[Corpora-List] (no subject)

[Scott Piao]

Hi Tony,

We have been developing a sentiment analysis tool in NaCTeM, it can be
useful for your colleague's work. See demo site: 
http://text0.mib.man.ac.uk:8080/opminpackage/opinion_analysis

Scott Piao
---------------------------
National Centre for Text Mining
School of Computer Science
The University of Manchester
UK




On Wed, 2008-10-22 at 14:44 +0200, Anthony Jappy 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
> 
> ****************************************************************************
> 
> 
> 
> 
> 


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