For each blogger, metadata is present, including the blogger s self-provided gender, age, industry and astrological sign. The creators themselves used it for various classification tasks, including gender recognition (Koppel et al. The men, on the other hand, seem to be more interested in computers, leading to important content words like software and game, and correspondingly more determiners and prepositions.
2004), with and without preprocessing the input vectors with Principal Component Analysis (PCA; (Pearson 1901); (Hotelling 1933)).
We also varied the recognition features provided to the techniques, using both character and token n-grams.
We found that is poorly ‘socialized’ in respect to any social network.
According to Siteadvisor and Google safe browsing analytics, is quite a safe domain with no visitor reviews.
Over the time it has been ranked as high as 3 506 399 in the world. It was owned by several entities, from DSR 60 Albert Court Prince Consort Road to DSR of DSR, it was hosted by RIPE Network Coordination Centre and Kattare Internet Services. was its first registrar, now it is moved to Network Solutions LLC..
has the lowest Google pagerank and bad results in terms of Yandex topical citation index.
For our experiment, we selected 600 authors for whom we were able to determine with a high degree of certainty a) that they were human individuals and b) what gender they were.
We then experimented with several author profiling techniques, namely Support Vector Regression (as provided by LIBSVM; (Chang and Lin 2011)), Linguistic Profiling (LP; (van Halteren 2004)), and Ti MBL (Daelemans et al.
Gender recognition has also already been applied to Tweets. (2010) examined various traits of authors from India tweeting in English, combining character N-grams and sociolinguistic features like manner of laughing, honorifics, and smiley use.