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	<title>Comments on: LinkedIn Answers Launched</title>
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	<link>http://searchengineland.com/linkedin-answers-launched-10214</link>
	<description>Search Engine Land: Must Read News About Search Marketing &#38; Search Engines</description>
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		<title>By: Solomon Rothman Web Design Search Engine Marketing</title>
		<link>http://searchengineland.com/linkedin-answers-launched-10214/comment-page-1#comment-474</link>
		<dc:creator>Solomon Rothman Web Design Search Engine Marketing</dc:creator>
		<pubDate>Mon, 08 Jan 2007 20:26:34 +0000</pubDate>
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		<description>After my initial browse - the Q &amp; A section looks good, I&#039;m putting it on my list of things to try out / manipulate / enjoy.  Thanks for the news.
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		<content:encoded><![CDATA[<p>After my initial browse &#8211; the Q &#038; A section looks good, I&#8217;m putting it on my list of things to try out / manipulate / enjoy.  Thanks for the news.</p>
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		<title>By: Arnaud fischer</title>
		<link>http://searchengineland.com/linkedin-answers-launched-10214/comment-page-1#comment-473</link>
		<dc:creator>Arnaud fischer</dc:creator>
		<pubDate>Mon, 08 Jan 2007 19:35:17 +0000</pubDate>
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		<description>Awesome! I also tried several Q&amp;A services to get a high level definition of &quot;sentiment analysis&quot; over the past weeks, including LinkedIn. Answer services are sort of a hybrid between algo search and human-run directories with a different user interaction model where you can ask plain English questions and get plain English answers. What I really like is that answers come from people, somewhat along the path of Wikipedia, although the set of info retrieved is made of more diverse answers rather than one by consensus. it seems that answering services do better for sophisticated queries in the form of plain English questions than do 2.1 keywords typed in a traditional search box. Most volunteering to answer questions do care (or is it the miles?), include subjective in nature opinions and often provide &quot;tone&quot; clues turning Answers databases into wonderful data sets to mine, extract and make sense of &quot;sentiments&quot;.

Overall, LinkedIn did pretty well ... by a long shot. Makes sense, my network is made up of people that i) care about Sentiment Analysis ... if anybody does, and ii) care about me, ... not, or to some extent ... say, just a tinny bit more than a total stranger. Answers are as good as the people you ask the questions from, right? Well, LinkedIn is all about people you know and just released an Answer service with a really nice, intuitive, minimalist and simple Answers results page.

-arnaud
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		<content:encoded><![CDATA[<p>Awesome! I also tried several Q&#038;A services to get a high level definition of &#8220;sentiment analysis&#8221; over the past weeks, including LinkedIn. Answer services are sort of a hybrid between algo search and human-run directories with a different user interaction model where you can ask plain English questions and get plain English answers. What I really like is that answers come from people, somewhat along the path of Wikipedia, although the set of info retrieved is made of more diverse answers rather than one by consensus. it seems that answering services do better for sophisticated queries in the form of plain English questions than do 2.1 keywords typed in a traditional search box. Most volunteering to answer questions do care (or is it the miles?), include subjective in nature opinions and often provide &#8220;tone&#8221; clues turning Answers databases into wonderful data sets to mine, extract and make sense of &#8220;sentiments&#8221;.</p>
<p>Overall, LinkedIn did pretty well &#8230; by a long shot. Makes sense, my network is made up of people that i) care about Sentiment Analysis &#8230; if anybody does, and ii) care about me, &#8230; not, or to some extent &#8230; say, just a tinny bit more than a total stranger. Answers are as good as the people you ask the questions from, right? Well, LinkedIn is all about people you know and just released an Answer service with a really nice, intuitive, minimalist and simple Answers results page.</p>
<p>-arnaud</p>
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