Detecting Latent User Properties in Social Media


The ability to identify user attributes such as gender, age, regional origin, and political orientation solely from user language in social media such as Twitter or similar highly informal content has important applications in advertising, personalization, and recommendation. This paper includes a novel investigation of stacked-SVM-based classification… (More)


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Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 3 years.

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