<div dir="ltr"><div><div><div>Hi Phil, <br><br></div> You could also have a look at QWN-PPV (<a href="http://adimen.si.ehu.es/web/qwn-ppv" target="_blank">http://adimen.si.ehu.es/web/qwn-ppv</a>), which creates polarity lexicons with WordNet 3.0 synset sentiment values. Multiple lexicons are available to download. <br>
<br></div><div> If you need the whole Brown corpus you could also automatically annotate it at sense level, e.g. with FreeLing. <br></div></div><br><div>Cheers,<br><br>
</div>Iñaki<br><br><br><font size="-1">[1] San Vicente I., Agerri R., and Rigau G. "<i>Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages</i>".
In Proceedings of the 14th Conference of the European Chapter of the
Association for Computational Linguistics (EACL 2014). Gothenburg,
Sweden. 2014.</font><br><div><div> <br> <a href="http://aclweb.org/anthology//E/E14/E14-1010.pdf" target="_blank">http://aclweb.org/anthology//E/E14/E14-1010.pdf</a> <br><br><br></div><br><div><br></div><div>
<br></div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014-05-12 8:37 GMT+02:00 Francis Bond <span dir="ltr"><<a href="mailto:bond@ieee.org" target="_blank">bond@ieee.org</a>></span>:<br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">There are in fact two resources that give synsets sentiment values:<br>
sentiwordnet and ML-SentiCon.<br>
<br>
You can see them both linked to wordnet here:<br>
<a href="http://compling.hss.ntu.edu.sg/omw/" target="_blank">http://compling.hss.ntu.edu.sg/omw/</a><br>
<div><div><br>
On Fri, May 9, 2014 at 4:21 PM, Behrang Qasemizadeh<br>
<<a href="mailto:behrangatoffice@gmail.com" target="_blank">behrangatoffice@gmail.com</a>> wrote:<br>
> Hi Phil,<br>
><br>
> Do you know about the SemCor text collection [1]? It is a collection of text<br>
> passages from the Brown corpus that is annotated manually with WordNet<br>
> senses (37k sentences from newswire).<br>
> Using the SentiWordNet you may be able to get close to what you want: a look<br>
> up over the appeared senses in CorSem in the SentiWordNet?!<br>
><br>
> Best regards,<br>
><br>
> Behrang<br>
><br>
> [3] George A. Miller, Claudia Leacock, Randee Tengi, Ross T. Bunker, "A<br>
> SEMANTIC CONCORDANCE"<br>
><br>
><br>
> -----Original Message-----<br>
> From: <a href="mailto:corpora-bounces@uib.no" target="_blank">corpora-bounces@uib.no</a> [mailto:<a href="mailto:corpora-bounces@uib.no" target="_blank">corpora-bounces@uib.no</a>] On Behalf Of<br>
> Phil Smith<br>
> Sent: 06 May 2014 16:40<br>
> To: <a href="mailto:corpora@uib.no" target="_blank">corpora@uib.no</a><br>
> Subject: [Corpora-List] Brown Corpus with Sentiment Annotation<br>
><br>
> Dear all,<br>
><br>
> I'm interested to know if anyone is aware of an annotated version of the<br>
> Brown Corpus with sentiment information?<br>
><br>
> Many thanks,<br>
><br>
> Phil<br>
><br>
><br>
><br>
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</div></div><span><font color="#888888">--<br>
Francis Bond <<a href="http://www3.ntu.edu.sg/home/fcbond/" target="_blank">http://www3.ntu.edu.sg/home/fcbond/</a>><br>
Division of Linguistics and Multilingual Studies<br>
Nanyang Technological University<br>
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</div></div></blockquote></div><br><br clear="all"><br>-- <br><div dir="ltr"><br><table cellpadding="0" border="0" height="40" width="329"><tbody><tr><td><p><font style="font-family:Helvetica,Arial,sans-serif"><font size="1"><b>Iñaki San Vicente Roncal</b> </font><br>
<font color="#666666" size="1">I+G<font size="1"> <font size="1">I<font size="1">KERTZAILEA / R&D RE<font size="1">SEARCHER</font><br></font></font></font></font></font></p></td>
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