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List: wekalist
Subject: Re: [Wekalist] Text mining
From: valerio jus <valeriojus () gmail ! com>
Date: 2015-03-23 17:50:45
Message-ID: CAOksSMYwrmsD4CsXPg38F4_OCfq-E1K2TVA1iyKsmKfyeFf8Zw () mail ! gmail ! com
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Many thanks dear GM and JM, It could be a very good place to start from. Is
there any associated papers that introduces basic text implementation for
text mining ?
Thanks again
Valerio
On Tue, Mar 24, 2015 at 1:37 AM, Jose Maria Gomez Hidalgo <jmgomezh@yahoo.e=
s
> wrote:
> Thank you for the reference, Guillaume.
>
> I collected all my writings on Text Mining with WEKA at
> http://www.esp.uem.es/jmgomez/tmweka/index.html for the cas you want a
> quick summary of them and deciding which are of interest for you.
>
> Regards,
>
> JM
>
> --
> Jos=C3=A9 Mar=C3=ADa G=C3=B3mez Hidalgo
> Email: jmgomezh@yahoo.es
> Twitter: @jmgomez
> LinkedIn: http://www.linkedin.com/in/jmgomezh/
> Home page: http://www.esp.uem.es/jmgomez/
>
> ------------------------------
> *De:* Guillaume MULLER <gm@presans.com>
> *Para:* Weka machine learning workbench list. <wekalist@list.waikato.ac.n=
z>
>
> *Enviado:* Lunes 23 de marzo de 2015 16:29
> *Asunto:* Re: [Wekalist] Text mining
>
> Hi,
>
> I created a page some time ago for basic resources - unfortunately, I
> haven't been able to maintain it recently :(( :
> http://weka.wikispaces.com/Weka+For+Newbies
>
> It lists a few very good pages created by Jose Maria Gomez Hidalgo, that
> might be a good start:
>
> http://jmgomezhidalgo.blogspot.com.es/2013/05/language-identification-as-=
text.html
>
> http://jmgomezhidalgo.blogspot.com.es/2013/04/a-simple-text-classifier-in=
-java-with.html
>
> http://jmgomezhidalgo.blogspot.com.es/2013/06/sample-code-for-text-indexi=
ng-with-weka.html
>
> Cheers
>
> GM
> --
> Guillaume MULLER, PhD
> Office 0375
> Presans / X-Technologies / =C3=89cole Polytechnique
> 91128 Palaiseau CEDEX
> France
> http://www.presans.com
> http://feeds.feedburner.com/OYI/fr
>
>
>
> _______________________________________________
> Wekalist mailing list
> Send posts to: Wekalist@list.waikato.ac.nz
> List info and subscription status:
> http://list.waikato.ac.nz/mailman/listinfo/wekalist
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>
>
>
> _______________________________________________
> Wekalist mailing list
> Send posts to: Wekalist@list.waikato.ac.nz
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>
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<div dir="ltr"><div><div>Many thanks dear GM and JM, It could be a very good place to \
start from. Is there any associated papers that introduces basic text \
implementation for text mining ? <br><br></div>Thanks again \
<br></div>Valerio<br></div><div class="gmail_extra"><br><div class="gmail_quote">On \
Tue, Mar 24, 2015 at 1:37 AM, Jose Maria Gomez Hidalgo <span dir="ltr"><<a \
href="mailto:jmgomezh@yahoo.es" target="_blank">jmgomezh@yahoo.es</a>></span> \
wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px \
#ccc solid;padding-left:1ex"><div><div \
style="color:#000;background-color:#fff;font-family:HelveticaNeue-Light,Helvetica \
Neue Light,Helvetica Neue,Helvetica,Arial,Lucida \
Grande,sans-serif;font-size:16px"><div>Thank you for the reference, \
Guillaume.</div><div><br></div><div dir="ltr">I collected all my writings on Text \
Mining with WEKA at <a href="http://www.esp.uem.es/jmgomez/tmweka/index.html" \
target="_blank">http://www.esp.uem.es/jmgomez/tmweka/index.html</a> for the cas you \
want a quick summary of them and deciding which are of interest for \
you.<br></div><div><br><span></span></div><div \
dir="ltr"><span>Regards,</span></div><div dir="ltr"><br><span></span></div><div \
dir="ltr"><span>JM</span></div><span class="HOEnZb"><font color="#888888"><div> \
</div><div><div>-- <br>José María Gómez Hidalgo
<br>Email: <a href="mailto:jmgomezh@yahoo.es" target="_blank">jmgomezh@yahoo.es</a>
<br>Twitter: @jmgomez
<br>LinkedIn: <a href="http://www.linkedin.com/in/jmgomezh/" \
target="_blank">http://www.linkedin.com/in/jmgomezh/</a> <br>Home page: <a \
href="http://www.esp.uem.es/jmgomez/" \
target="_blank">http://www.esp.uem.es/jmgomez/</a></div></div><br> \
</font></span><div style="font-family:HelveticaNeue-Light,Helvetica Neue \
Light,Helvetica Neue,Helvetica,Arial,Lucida Grande,sans-serif;font-size:16px"><span \
class="HOEnZb"><font color="#888888"> </font></span><div \
style="font-family:HelveticaNeue,Helvetica Neue,Helvetica,Arial,Lucida \
Grande,sans-serif;font-size:16px"><span class="HOEnZb"><font color="#888888"> <div \
dir="ltr"> <hr size="1"> <font face="Arial"> <b><span \
style="font-weight:bold">De:</span></b> Guillaume MULLER <<a \
href="mailto:gm@presans.com" target="_blank">gm@presans.com</a>><br> <b><span \
style="font-weight:bold">Para:</span></b> Weka machine learning workbench list. \
<<a href="mailto:wekalist@list.waikato.ac.nz" \
target="_blank">wekalist@list.waikato.ac.nz</a>> <br> <b><span \
style="font-weight:bold">Enviado:</span></b> Lunes 23 de marzo de 2015 16:29<br> \
<b><span style="font-weight:bold">Asunto:</span></b> Re: [Wekalist] Text mining<br> \
</font> </div></font></span><div><div class="h5"> <div><br>Hi,<br clear="none"><br \
clear="none">I created a page some time ago for basic resources - unfortunately, I \
haven't been able to maintain it recently :(( :<br clear="none"><a shape="rect" \
href="http://weka.wikispaces.com/Weka+For+Newbies" \
target="_blank">http://weka.wikispaces.com/Weka+For+Newbies</a><br clear="none"><br \
clear="none">It lists a few very good pages created by Jose Maria Gomez Hidalgo, that \
might be a good start:<br clear="none"><a shape="rect" \
href="http://jmgomezhidalgo.blogspot.com.es/2013/05/language-identification-as-text.html" \
target="_blank">http://jmgomezhidalgo.blogspot.com.es/2013/05/language-identification-as-text.html</a><br \
clear="none"><a shape="rect" \
href="http://jmgomezhidalgo.blogspot.com.es/2013/04/a-simple-text-classifier-in-java-with.html" \
target="_blank">http://jmgomezhidalgo.blogspot.com.es/2013/04/a-simple-text-classifier-in-java-with.html</a><br \
clear="none"><a shape="rect" \
href="http://jmgomezhidalgo.blogspot.com.es/2013/06/sample-code-for-text-indexing-with-weka.html" \
target="_blank">http://jmgomezhidalgo.blogspot.com.es/2013/06/sample-code-for-text-indexing-with-weka.html</a><br \
clear="none"><br clear="none">Cheers<br clear="none"><br clear="none">GM<br \
clear="none">--<br clear="none">Guillaume MULLER, PhD<br clear="none">Office 0375<br \
clear="none">Presans / X-Technologies / École Polytechnique<br clear="none">91128 \
Palaiseau CEDEX<br clear="none">France<br clear="none"><a shape="rect" \
href="http://www.presans.com/" target="_blank">http://www.presans.com</a><br \
clear="none"><a shape="rect" href="http://feeds.feedburner.com/OYI/fr" \
target="_blank">http://feeds.feedburner.com/OYI/fr</a><div><br><br></div><div><br \
clear="none">_______________________________________________<br clear="none">Wekalist \
mailing list<br clear="none">Send posts to: <a shape="rect" \
href="mailto:Wekalist@list.waikato.ac.nz" \
target="_blank">Wekalist@list.waikato.ac.nz</a><br clear="none">List info and \
subscription status: <a shape="rect" \
href="http://list.waikato.ac.nz/mailman/listinfo/wekalist" \
target="_blank">http://list.waikato.ac.nz/mailman/listinfo/wekalist</a><br \
clear="none">List etiquette: <a shape="rect" \
href="http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html" \
target="_blank">http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html</a></div><br><br></div> \
</div></div></div> </div> \
</div></div><br>_______________________________________________<br> Wekalist mailing \
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<br></blockquote></div><br></div>
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