This paper is about using Stacking to boost the multi-classes accuracy of
sentiment classification significantly: "The Importance of Neutral Examples
for Learning Sentiment". I found this paper interesting and the experiment
results a bit surprising.

On Sun, Mar 25, 2012 at 10:28 PM, Satrajit Ghosh <[email protected]> wrote:

> hi olivier,
>
> Good to know. Among the references from the Wikipedia article, the
>> following seems particularly interesting:
>>
>>  http://arxiv.org/abs/0911.0460
>
>
> i just read that last night after this series of emails. the introduction
> is nice, but the point they are trying to make is a little strange given
> their results section. it really becomes focused on "meta-features."
>
> cheers,
>
> satra
>
>
>
> ------------------------------------------------------------------------------
> This SF email is sponsosred by:
> Try Windows Azure free for 90 days Click Here
> http://p.sf.net/sfu/sfd2d-msazure
> _______________________________________________
> Scikit-learn-general mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>


-- 
Best Wishes
--------------------------------------------
Meng Xinfan(蒙新泛)
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China
------------------------------------------------------------------------------
This SF email is sponsosred by:
Try Windows Azure free for 90 days Click Here 
http://p.sf.net/sfu/sfd2d-msazure
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to