Expectation Maximisation Algorithm Model for Authorship Attribution in Tamil Article Database

Abstract

This research article attempts to classify the distinguish authorship problem of three existing Tamil scholars during the Indian independence period, namely, Mahakavi Bharathiar (MB), Subramaniya Iyer (SI) and T.V. Kalyanasundaranar (TVK), using expectation maximisation (EM) algorithm method. The three trendy scholars, as stated above, had written a good number of articles on the India's Freedom Movement during the pre-independence period and published in the magazine India, in the year 1906, is considered for this study. The database consists of 36 articles of blocks of MB, 31 blocks of articles of TVK, 38 blocks of articles of MB, each block having many sentences and 19 function words parameters were used. In the above point of view, this study attempts to identify three authorship of three authors using their stylistic traits and classification of articles of MB, TVK and SI using EM algorithm model. EM algorithm has been used newly as a modern tool and attracted broad research in various disciplines including text mining. Application of EM algorithm has increased considerably in areas of pattern recognition and classification problems in the field of text mining over the last decade.