Author Profiling of Twitter Users: Notebook for PAN at CLEF 2015
نویسندگان
چکیده
In this paper, we focused on profiling authors on age, gender, and five personality traits. The corpus consists of anonymized twitter posts categorized into 4 different languages. Our proposed approach was to use a combination of tfidf, function words, stylistic features, and text bigrams, and used an SVM for each task.
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