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Ensemble learning approach for author profiling

Publication Type : Conference Paper

Publisher : Proceedings of CLEF 2014

Source : Proceedings of CLEF 2014 (2014)

Url :

Campus : Amritapuri

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Verified : No

Year : 2014

Abstract : With the evolution of internet, author profiling has become a topic of great interest in the field of forensics, security, marketing, plagiarism detection etc. However the task of identifying the characteristics of the author just based on a text document has its own limitations and challenges. This paper reports on the design, techniques and learning models we adopted for the PAN-2014 Author Profiling challenge. To identify the age and gender of an author from a document we employed ensemble learning approach by training a Random Forest classifier with the training data provided by PAN organizers for English language only. Our work indicate that readability metrics, function words and structural features play a vital role in identifying the age and gender of an author.

Cite this Research Publication : G. Gressel, K., S., A, A., Thara, S., P., H., and Prabaharan Poornachandran, “Ensemble learning approach for author profiling”, in Proceedings of CLEF 2014, 2014.

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