I was reading Larry Wall's State of the Onion talk from this year's Open Source Convention and The Perl Conference when I caught an interesting idea:
Analyzing the hierarchy of posts / emails may be not too difficult, but understanding the "tones" of the emails is perhaps more difficult. Maybe we can count the number of smileys, punctuation marks!? Understanding the content is perhaps the most difficult thing. Has somebody done research in this area?
PS: Larry Wall is one of my favourite heroes. He's so funny. (I've never met him, but read a lot of his posts.) And I kind of sense this (funny spirit) in the product (perl), just like I sense Steve Job's spirit in Apple products. That's why I love perl so much. And, if you've listened to my presentations, I tried and try to do the same thing.
The most telling example of that is when Deja first put up all the old Usenet news articles for browsing. My good friend Randal Schwartz went in and discovered that of the hundreds of articles I'd posted over the years, only one article was not a follow-up to some else's article. I don't initiate.This is an interesting idea. We can go beyond Usenet news to mailng lists. There are many mail-archiving sites, such as mail-archive.com, that we can use to search and analyze one's digital personality. Maybe we can count the number of emails one initiates, the style that s/he quotes (eg. more quotation that the followup), oneliners, smileys, and what else(?).
Analyzing the hierarchy of posts / emails may be not too difficult, but understanding the "tones" of the emails is perhaps more difficult. Maybe we can count the number of smileys, punctuation marks!? Understanding the content is perhaps the most difficult thing. Has somebody done research in this area?
PS: Larry Wall is one of my favourite heroes. He's so funny. (I've never met him, but read a lot of his posts.) And I kind of sense this (funny spirit) in the product (perl), just like I sense Steve Job's spirit in Apple products. That's why I love perl so much. And, if you've listened to my presentations, I tried and try to do the same thing.
Comments
Do you have nifty perl scripts (or even oneliners) to analyze emails?
H@v3 pHun !