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In this article, we have proposed methods to deal with the authorship attribution problem in Bengali. More specifically, we proposed a supervised framework consisting of lexical and shallow features and investigated the possibility of using topic-modeling-inspired features, to classify documents according to their authors. We have created a corpus from nearly all the literary works of three eminent Bengali authors, consisting of 3,000 disjoint samples. Our models showed better performance than the state-of-the-art, with more than 98% test accuracy for the shallow features and 100% test accuracy for the topic-based features. Further experiments with GloVe vectors [Pennington et al. 2014] showed comparable results, but flexible patterns based on content words and high-frequency words [Schwartz et al. 2013] failed to perform as well as expected.<\/jats:p>","DOI":"10.1145\/3099473","type":"journal-article","created":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T11:49:04Z","timestamp":1503575344000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["A Supervised Learning Approach for Authorship Attribution of Bengali Literary Texts"],"prefix":"10.1145","volume":"16","author":[{"given":"Shanta","family":"Phani","sequence":"first","affiliation":[{"name":"Information Technology, IIEST, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shibamouli","family":"Lahiri","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arindam","family":"Biswas","sequence":"additional","affiliation":[{"name":"Information Technology, IIEST, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,8,16]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_2_1_2_1","first-page":"17","article-title":"Hierarchical topic models and the nested Chinese restaurant process","volume":"16","author":"Blei Tenenbaum","year":"2004","journal-title":"Adv. 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