Hey ghandi, remember me, the crazy guy with the crazy idea? I switched majors to biology but I keep on keeping on with the dreaming. Chemistry is a lot more interesting than a state university's current idea of computer science. My wait-and-see attitude, coupled with my tendency to only do things i enjoy, lets me stick to projects where I can make personally satisfactory progress. Other people will have to complete the LDP as I sort of always knew.

Check these out regarding logical discourse:

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"This seems like the perfect question to pose to Slashdotters: how would you foster more dynamic spaces for online news discussion? How would you preserve the context of online discussions and stamp out trolls? " Sound familiar?

http://ask.slashdot.org/story/11/05/09/203221/Ask-Slashdot-Going-Beyond-Comment-Threads

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Truthy is a research project that helps you understand how memes spread online. With our images and statistics, you can help identify misuse of Twitter. Our first application was the study of astroturf campaigns in elections. Now we're extending our focus to the diffusion of all types of information in social media.

http://truthy.indiana.edu


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United States Patent 7,805,291 Berkowitz Appl. No.: 11/137,594
Filed: May 25, 2005
September 28, 2010

Method of identifying topic of text using nouns


Abstract
A method of identifying a topic of a text. Text is received. Then, the nouns in the text are identified. The singular form of each identified noun is determined. Combinations are created of the singular form of the identified nouns, where the number of singular forms of the nouns in the combinations is user-definable. The frequency of occurrence in the text of each noun that corresponds to its singular form is determined. Each frequency of occurrence is assigned as a score to its corresponding singular form noun. Each combination of singular form nouns is assigned a score that is equal to the sum of the scores of its constituent singular form nouns. The user-definable number of top scoring singular form nouns and combinations of singular form nouns are selected as the topic of the text.

Inventors: Berkowitz; Sidney (Baltimore, MD)
Assignee: The United States of America as represented by the Director National Security Agency (Washington, DC)
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This paper was coming out about the time I started to get interested in the possibility of analyzing for semantics and stuff. Good thing someone smarter figured it out.

Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
Authors: Johan Bollen, Alberto Pepe, Huina Mao
(Submitted on 9 Nov 2009)

Abstract: Microblogging is a form of online communication by which users broadcast brief text updates, also known as tweets, to the public or a selected circle of contacts. A variegated mosaic of microblogging uses has emerged since the launch of Twitter in 2006: daily chatter, conversation, information sharing, and news commentary, among others. Regardless of their content and intended use, tweets often convey pertinent information about their author's mood status. As such, tweets can be regarded as temporally-authentic microscopic instantiations of public mood state. In this article, we perform a sentiment analysis of all public tweets broadcasted by Twitter users between August 1 and December 20, 2008. For every day in the timeline, we extract six dimensions of mood (tension, depression, anger, vigor, fatigue, confusion) using an extended version of the Profile of Mood States (POMS), a well-established psychometric instrument. We compare our results to fluctuations recorded by stock market and crude oil price indices and major events in media and popular culture, such as the U.S. Presidential Election of November 4, 2008 and Thanksgiving Day. We find that events in the social, political, cultural and economic sphere do have a significant, immediate and highly specific effect on the various dimensions of public mood. We speculate that large scale analyses of mood can provide a solid platform to model collective emotive trends in terms of their predictive value with regards to existing social as well as economic indicators.


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Cheers,

Vairetube