Photos on "Charlene Li"
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by Technology and Organizations with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: good, positive, transparent. Negative adjectives found in the text: inevitable. Most frequent adjectives: better. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
August 18, 2010 — Thursday, PARC (Palo Alto Research Center) is hosting author Charlene Li in their Forum series. She’s presenting Open leadership: How social technology can transform the...
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in Internet by PowerShift - the Radian6... with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: spectacular, powerful, smart. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
July 30, 2010 — Wow. I’d like to extend a huge thank you to Charlene Li for today’s spectacular webinar. She not only discussed her book “Open Leadership: How Social Technology Can Transform the Way You Lead” ,...
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by PowerShift - the Radian6... with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: transparent, successful, good. Most frequent adjectives: able, transparent. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
July 19, 2010 — We’re thrilled to announce that Charlene Li, founder of the research-based advisory firm Altimeter Group and co-author of the renowned Groundswell , will be joining us...
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July 15, 2010 — Open Leadership: How Social Technology Can Transform the Way You Lead is the new book by Charlene Li , founder of Altimeter Group and co-author of Groundswell . FIR co-host...
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July 15, 2010 — Open Leadership: How Social Technology Can Trasform the Way You Lead is the new book by Charlene Li, founder of The Altimeter Group and co-author of Groundswell. FIR co-host...
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July 08, 2010 — In this guest post, author Andrew Keen introduces the second episode of his TechCrunch TV show, Keen On… If the Web 2.0 age of the first decade of the 21st century was about user-generated-content, the Social...
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June 14, 2010 — Obama got elected for his open leadership style. Despite your political leanings about him, people in marketing have to admire how he used social marketing and open leadership. Charlene Li Founder of Altimeter...
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June 12, 2010 — In her new book called Open Leadership , Charlene Li Founder of Altimeter Group discusses the importance and difficulty of being open as a leader. In this first of three podcasts, we delve into what it means to...
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June 11, 2010 — I recently reviewed Charlene Li's new book, Open Leadership, for my Ad Age column. Here's a link and an excerpt: "Li argues that social media-enabled services and sites can "improve efficiency,...
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in Business by SmartBlog on Social Media with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: successful, optimistic, curious. Negative adjectives found in the text: impersonal. Most frequent adjectives: able. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
June 09, 2010 — Leading up to our Buzz 2010: Social Media for Associations event on June 16, we asked you , our readers, for questions that you’d like to ask our keynote, Charlene Li . We...
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June 07, 2010 — Ben Whitford, a contributing editor to SmartBrief on Social Media , recently interviewed Charlene Li about her new book, “ Open Leadership .” Charlene...
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by Impressions Through Media with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: comfortable, professional. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
June 04, 2010 — Charlene Li ‘s new book, Open Leadership: How Social Technology Can Transform the Way You Lead , opens with a memorable story about musician, Dave Carroll, and his...
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by Impressions Through Media with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: comfortable, professional. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
June 04, 2010 — Charlene Li ‘s new book, Open Leadership: How Social Technology Can Transform the Way You Lead , opens with a memorable story about musician, Dave Carroll, and his...
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May 14, 2010 — chance to match our inaugural effort. As usual, the team proved me wrong—and we’re kicking off our three-part breakfast series with none other than Charlene Li . If you...
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in Business by Sadagopan's Weblog with a VERY GOODsentimentOverall mood: VERY GOOD! Postitive adjectives found in the text: powerful, terrific, relevant. Negative adjectives found in the text: sorry, paradoxical, difficult. Most frequent adjectives: powerful, well-known, robust. Our semantic analysis measures the mood of a post and the author's perspective on a specific topic by analyzing the adjectives present in a text and weighing them appropriately. The purpose of this analysis is to understand how something is being talked about and does not imply a negative or positive judgment. For example, if something unpleasant happens to a celebrity the Sentiment for that post will probably be 'Very bad', but this does not imply that the author has a negative opinion of the person.
May 10, 2010 — Charlene Li and Forrester’s Josh Bernoff earlier gave the pioneering book, “Groundswell: Winning in a World Transformed by Social Technologies”, which provided business a leg...