Gender Prediction for Expert Finding Task

Abstract

Abstract-Predicting gender by names is one of the most interesting problems in the domain of Information Retrieval and expert finding task. In this research paper, we propose a machine learning approach for gender prediction task. We propose a new feature, that is, combination of letters in names which gives 86.54% accuracy. Our data collection consists of 3000 Urdu language names written using English Alphabets. This technique can be used to extract names from email addresses and hence is also valid for emails. To the best of our knowledge, it is the firstever attempt for predicting gender from Pakistani (Urdu) names written using English alphabets.

A Computational Linguistic Approach for Gender Prediction Based on Vietnamese Names

“…e feature extraction using N-gram is quite common in text mining and natural language processing (NLP) tasks. In the gender identification problem, the use of N-gram has also been applied in many projects [14,30,31]. e authors have used the N-gram feature as basic features of the machine learning model.…”