Predicting an Author's Demographics from Text using Topic Modeling Approach
نویسندگان
چکیده
The paper presents an approach to predict personality traits of a writer for the author profiling task of the PAN CLEF 2015. The task aimed at predicting authors’ demographics based on the written tweets of an author. These demographics included traditional authorship attributes of age, gender and various personality traits of an author. We applied topic modeling using LDA as baseline approach and used the generated topic to get hierarchical probabilities of the topics. J48 decision tree was used for training classification model. The trained models were then used to successfully predict the demographics of training and test datasets
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