[Corpora-List] Automatic sentiment detection

J Washtell lec3jrw at leeds.ac.uk
Wed Oct 22 15:49:19 CEST 2008


Hello Tony,

Fangzhong Su, here at the University of Leeds, is conducting research into automatic sentiment detection in text. His work may be relevant. I have copied these mail to him.

Regards,

Justin Washtell

Quoting Anthony Jappy <tony at univ-perp.fr>:


> 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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