Text Processing for Gender Info
August 27, 2011
Apparently researchers are proving what we have known all along, men and women communicate differently. In all seriousness, language patterns of tweets are being studied by the Mitre Corporation to determine if gender can be accurately assigned. Read more from, “Study shows how some tweeters can identify their gender without even trying.”
As the Mitre team shows in their report, there are certain “buzzwords” that can often be found by analyzing the output of female tweeters. Phrases such as “chocolate” and “shopping” are among the most repeated for women tweeters. The most popular phrases for men, you ask? “Http” and “Google”…hey we never said either gender was more interesting than the other.
The team determined that the female/male ratio on Twitter is 55/45, so a guess of “female” would prove correct 55% of the time. However, the team found success 75% of the time through analyze of certain phrases, like those mentioned above. Perhaps such research could lead to targeted gender-specific advertising. It is interesting regardless, and the full report could be worth a look.
Emily Rae Aldridge, August 27, 2011
Sponsored by Pandia.com
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