To be fair, the description does say:<font class="Apple-style-span" face="arial, helvetica, sans-serif"> "For reliable result classified texts should contain not less than 200 words." </font><div><font class="Apple-style-span" face="arial, helvetica, sans-serif"><br>
</font></div><div><font class="Apple-style-span" face="arial, helvetica, sans-serif">Mandy Schiffrin</font></div><div><font class="Apple-style-span" face="arial, helvetica, sans-serif">Researcher, RightNow Technologies</font></div>
<div><font class="Apple-style-span" face="arial, helvetica, sans-serif"><br></font></div><div><font class="Apple-style-span" face="Verdana, Arial, Helvetica, sans-serif"><br></font><br><div class="gmail_quote">On 16 December 2011 14:06, Justin Washtell <span dir="ltr"><<a href="mailto:lec3jrw@leeds.ac.uk">lec3jrw@leeds.ac.uk</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hello Alexander,<br>
<br>
I tried both of your demos out of interest.<br>
<br>
For the first demo I used the default options (the movie reviews and Naive Bayes). I did not understand the output, or how it was supposed to relate to the various parts of the input (if indeed it is?)<br>
<br>
For the second demo I entered the following sentences and received the following classifications:<br>
<br>
This demo is terrible. low_neg<br>
This demo is no good at all. high_pos<br>
This demo is far from brilliant. low_pos<br>
<br>
This demo is excellent. low_pos<br>
This demo is not bad at all. low_pos<br>
Thid demo couldn't be better! low_neg<br>
<br>
Am I doing something wrong?<br>
<br>
I would presently dispute your claimed "undisputable advantages". I am not sure whether your intended customers - who are presumably not language technology experts - will require less or more convincing.<br>
<br>
Justin Washtell<br>
University of Leeds<br>
<br>
________________________________________<br>
From: <a href="mailto:corpora-bounces@uib.no">corpora-bounces@uib.no</a> [<a href="mailto:corpora-bounces@uib.no">corpora-bounces@uib.no</a>] On Behalf Of Alexander Osherenko [<a href="mailto:osherenko@gmx.de">osherenko@gmx.de</a>]<br>
Sent: 16 December 2011 08:46<br>
To: <a href="mailto:Corpora@uib.no">Corpora@uib.no</a><br>
Subject: [Corpora-List] EmoText - Software for opinion mining and lexical affect sensing<br>
<div class="im"><br>
Dear all!<br>
<br>
Recently I made an announcement of a book about opinion mining and lexical affect sensing. In this contribution I would like to point you to the EmoText demo program that relies on the findings in this book. It was implemented for the European CALLAS project.<br>
<br>
The link is:<br>
</div><a href="http://www.socioware.de/products.html" target="_blank">www.socioware.de/products.html</a><<a href="http://www.socioware.de/products.html" target="_blank">http://www.socioware.de/products.html</a>>.<br>
<div class="im"><br>
I apologize for some advertising.<br>
<br>
Kind regards<br>
Alexander Osherenko<br>
<br>
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</blockquote></div><br></div>