[Corpora-List] (no subject)

[Anthony Jappy]

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

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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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