University of Kerbala Discussing an M.A Thesis entitled Gender Classification Based On Linguistic Style Analysis Using Machine Learning Techniques

College of Computer Science and Information Technology / University of Kerbala has discussed the M.A thesis which is entitled ” Gender Classification Based On Linguistic Style Analysis Using Machine Learning Techniques”.

The study, submitted by Haneen Tamim Abdul Ali, aims at improving accuracy of gender classification based on linguistic style in a general-domain dataset and a specific-domain dataset.

The study recommends proposing a new method for extracting features using the reference feature algorithm, to be applied to three models: the first using machine learning classifiers, the second using deep learning, and the third using linear combination mechanism of the two previous models based on the final prediction probability.