Authorship Attribution of Tamil Articles of Unknown Authorship Using Neural Network

The classification of articles of unidentified authorship to the articles written by existing Tamil scholars of the similar period, namely Mahakavi Bharathiar (MB), Subramaniya Iyer (SI) and T. V. Kalyanasundaram (TVK), is dealt in the present paper. The three popular scholars mentioned above had written a number of articles on India's Freedom Movement during the pre-independence period and published in the magazine called, India. Originally, all the three writers contributed their articles by attributing their names. The oppressive attitude of the then British administration forced all the three patriots to write articles on the same theme for unknown publications without mentioning their names.

Artificial neural networks (ANNs) have recently been used as new tools and involved extensive research in various disciplines including Stylometry, Text Mining and Authorship Attribution. Application of neural network models has increased considerably in areas of pattern recognition and classification problems in the field of Stylometry, Text Mining and Authorship Attribution over the last decade. In this research article, an attempt is made to deal with the authorship attribution problems using a Radial Basis Function Network (RBFN) for attributing the articles of unknown authorship to one of the contemporary writers of the same period. Two sets of stylistic parameters such as morphology and function words are made use of for classification purposes. Subsequently, results of authorship attribution are discussed.