Comments on: Analyzing the State of the Union: Speeches as data points http://www.wikinomics.com/blog/index.php/2010/02/03/analyzing-the-state-of-the-union/ Exploring How Mass Collaboration Changes Everything Sun, 28 Aug 2011 14:21:24 +0000 hourly 1 http://wordpress.org/?v=3.2.1 By: Kamal Latif http://www.wikinomics.com/blog/index.php/2010/02/03/analyzing-the-state-of-the-union/comment-page-1/#comment-343137 Kamal Latif Sat, 13 Feb 2010 23:44:23 +0000 http://www.wikinomics.com/blog/?p=5340#comment-343137 Fascinating article Naumi. Even I find my list of tweets is often nothing more than noise, but what is interesting is noting the general trend in the words used, and subjects discussed in all the tweets. When Google Buzz came out or the iPad was launched a diverse range of the people I follow on Twitter commented on both events and there were definite groups of responses, in terms of words and sentiments. Using this type of data/ word analysis to generate meaningful information on the feelings of people/ customers towards a certain event, be it a political speech or product launch will definitely become more vital for any person or organisation promoting or maintaining a brand. It is the next level on from what I have often worked on as a financial analyst mining through sales data in data warehouses to uncover trends in consumer spending and habits. What is really interesting is linking the trends in word use with the personalities or digital/ online profiles of the people making the comments. I would be interested, for example, if pro-Democrat party Americans used similar words or displayed similar sentiments as each other on Twitter or blogs, and if that differed significantly from the language and sentiments voiced by pro-Republican party commentators. The language of different groups and the way they project their opinions will be something politicians and businessmen would definitely want to understand and play on. Great stuff. Fascinating article Naumi. Even I find my list of tweets is often nothing more than noise, but what is interesting is noting the general trend in the words used, and subjects discussed in all the tweets. When Google Buzz came out or the iPad was launched a diverse range of the people I follow on Twitter commented on both events and there were definite groups of responses, in terms of words and sentiments. Using this type of data/ word analysis to generate meaningful information on the feelings of people/ customers towards a certain event, be it a political speech or product launch will definitely become more vital for any person or organisation promoting or maintaining a brand. It is the next level on from what I have often worked on as a financial analyst mining through sales data in data warehouses to uncover trends in consumer spending and habits.

What is really interesting is linking the trends in word use with the personalities or digital/ online profiles of the people making the comments. I would be interested, for example, if pro-Democrat party Americans used similar words or displayed similar sentiments as each other on Twitter or blogs, and if that differed significantly from the language and sentiments voiced by pro-Republican party commentators.
The language of different groups and the way they project their opinions will be something politicians and businessmen would definitely want to understand and play on.
Great stuff.

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