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Author profile prediction using pivoted unique term normalization
2016
Indian Journal of Science and Technology
Objective: Author Profiling is a text classification technique to predict the author profiles of anonymous text. Author Profiles are the demographic characteristics of the authors like age, gender, native language, location, educational background and personality traits. This paper proposes a new model to predict the profiles of the authors such as gender and age by analyzing their writing styles on hotel reviews dataset. Method: Most of the existing approaches suffer from high dimensionality
doi:10.17485/ijst/2016/v9i46/99404
fatcat:lv57gz5m7vhnnf4uuootsknfie