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		<title>More Love for tweetfeel</title>
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		<pubDate>Mon, 24 Aug 2009 17:15:04 +0000</pubDate>
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		<description><![CDATA[The New York Times and the San Francisco Chronicle just published articles mentioning tweetfeel. Have a look! Mining the Web for Feelings, Not Facts By ALEX WRIGHT, The New York Times Published: August 23, 2009 Computers may be good at crunching numbers, but can they crunch feelings? The rise of blogs and social networks has [...]]]></description>
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<p>The New York Times and the San Francisco Chronicle just published articles mentioning tweetfeel. Have a look!</p>
<h2>Mining the Web for Feelings, Not Facts</h2>
<p>By ALEX WRIGHT, The New York Times<br />
Published: August 23, 2009</p>
<p>Computers may be good at crunching numbers, but can they crunch feelings? The rise of blogs and social networks has fueled a bull market in personal opinion: reviews, ratings, recommendations and other forms of online expression. For computer scientists, this fast-growing mountain of data is opening a tantalizing window onto the collective consciousness of Internet users&#8230;.  For casual Web surfers, simpler incarnations of sentiment analysis are sprouting up in the form of lightweight tools like <a href="http://www.tweetfeel.com/">Tweetfeel</a>, <a href="http://twendz.waggeneredstrom.com/">Twendz</a> and <a href="http://twitrratr.com/">Twitrratr</a>. These sites allow users to take the pulse of Twitter users about particular topics. A quick search on Tweetfeel, for example, reveals that 77 percent of recent tweeters liked the movie “Julie &amp; Julia.<a href="http://www.nytimes.com/2009/08/24/technology/internet/24emotion.html?_r=1"> [Read more here]</a></p>
<h2>Web offering more gauges about happiness</h2>
<p>By Alejandro Martínez-Cabrera, San Francisco Chronicle Staff Writer<br />
Published Tuesday, August 18, 2009</p>
<p>On a happiness scale of 1 to 10, the world scored a 6.16 Monday, according to Emotionr, a Web site that invites users to &#8220;store and keep track of your feelings&#8221; and &#8220;discover what makes people happy.&#8221; Meanwhile, TweetFeel, which analyzes Twitter posts based on emoticons, words and phrases, showed that on the same day, 101 members used positive language when writing about President Obama, compared with 71 negative comments. [<a href="http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2009/08/17/BU3S198OLD.DTL#ixzz0P7acqnUH">Read more here]</a></p>
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