Conference Paper2020
A Computational Approach to Author Identification from Bengali Song Lyrics
Nazmun Nisat Ontika, Md Fasihul Kabir, Ashraful Islam, Eshtiak Ahmed, Mohammad Nurul Huda
Proceedings of International Joint Conference on Computational Intelligence
Springer Nature Singapore, pp. 359–369, ISBN: 9789811375637
CCDS Authors
References
- 1.Chih-Chung Chang, Chih‐Jen Lin. (2011). LIBSVM. ACM Transactions on Intelligent Systems and Technology, 2(3), 1–27[10.1145/1961189.1961199]
- 2.Draper, Norman Richard, Smith, Harry. (2005). Applied Regression Analysis. Technometrics, 47(3), 380[10.1198/tech.2005.s303]
- 3.Irina Rish. (2001). An empirical study of the naive Bayes classifier.
- 4.ChengXiang Zhai, John Lafferty. (2017). A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. ACM SIGIR Forum, 51(2), 268–276[10.1145/3130348.3130377]
- 5.Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev‐Shwartz, Yoram Singer. (2006). Online Passive-Aggressive Algorithms. , 7(19), 551–585
- 6.Tong Zhang. (2004). Solving large scale linear prediction problems using stochastic gradient descent algorithms. , 116[10.1145/1015330.1015332]
- 7.Efstathios Stamatatos. (2008). A survey of modern authorship attribution methods. Journal of the American Society for Information Science and Technology, 60(3), 538–556[10.1002/asi.21001]
- 8.Yoav Freund, Robert E. Schapire. (1998). Large margin classification using the perceptron algorithm. , 209–217[10.1145/279943.279985]
- 9.Jason Weston, Chris Watkins. (1999). Support vector machines for multi-class pattern recognition.. The European Symposium on Artificial Neural Networks, 18(17), 219–224[10.1093/nar/18.17.5326]
- 10.James Allan, Ron Papka, Victor Lavrenko. (2017). On-Line New Event Detection and Tracking. ACM SIGIR Forum, 51(2), 185–193[10.1145/3130348.3130366]
- 11.Yoav Freund, Robert E. Schapire. (1999). Large Margin Classification Using the Perceptron Algorithm. Machine Learning, 37(3), 277–296[10.1023/a:1007662407062]
- 12.Shiliang Sun, Chen Luo, Junyu Chen. (2016). A review of natural language processing techniques for opinion mining systems. Information Fusion, 36, 10–25[10.1016/j.inffus.2016.10.004]
- 13.Rong Zheng, Jiexun Li, Hsinchun Chen, Zan Huang. (2005). A framework for authorship identification of online messages: Writing‐style features and classification techniques. Journal of the American Society for Information Science and Technology, 57(3), 378–393[10.1002/asi.20316]
- 14.Olivier De Vel, Alison Anderson, Malcolm Corney, George Mohay. (2001). Mining e-mail content for author identification forensics. ACM SIGMOD Record, 30(4), 55–64[10.1145/604264.604272]
- 15.Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes. (2004). Multinomial Naive Bayes for Text Categorization Revisited. Lecture notes in computer science, 488–499[10.1007/978-3-540-30549-1_43]
- 16.Grigori Sidorov, Francisco Velásquez, Efstathios Stamatatos, Alexander Gelbukh, Liliana Chanona-Hernández. (2013). Syntactic N-grams as machine learning features for natural language processing. Expert Systems with Applications, 41(3), 853–860[10.1016/j.eswa.2013.08.015]
- 17.Liping Jing, Houkuan Huang, Hongbo Shi. (2003). Improved feature selection approach TFIDF in text mining. , 2, 944–946[10.1109/icmlc.2002.1174522]
- 18.Zhi Liu, Qihang Wu, Yun Zhang, C. L. Philip Chen. (2011). Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery. International Journal of Machine Learning and Cybernetics, 2(1), 37–47[10.1007/s13042-011-0012-5]
- 19.Carole E. Chaski. (2005). Who's At The Keyboard? Authorship Attribution in Digital Evidence Investigations. , 4
- 20.Anil Bandhakavi, Nirmalie Wiratunga, Deepak Padmanabhan, Stewart Massie. (2016). Lexicon based feature extraction for emotion text classification. Pattern Recognition Letters, 93, 133–142[10.1016/j.patrec.2016.12.009]
- 21.Ricardo Malheiro, Renato Panda, Paulo J. S. Gomes, Rui Pedro Paiva. (2016). Emotionally-Relevant Features for Classification and Regression of Music Lyrics. IEEE Transactions on Affective Computing, 9(2), 240–254[10.1109/taffc.2016.2598569]
- 22.Débora Corrêa, Francisco A. Rodrigues. (2016). A survey on symbolic data-based music genre classification. Expert Systems with Applications, 60, 190–210[10.1016/j.eswa.2016.04.008]
- 23.Michael J. Fell, Caroline Sporleder. (2014). Lyrics-based Analysis and Classification of Music. International Conference on Computational Linguistics, 620–631
- 24.Rudolf Mayer, Robert Neumayer, Andreas Rauber. (2008). Rhyme And Style Features For Musical Genre Classification By Song Lyrics.. , 337–342[10.5281/zenodo.1416757]
- 25.James J. Deng, Clement Leung, Alfredo Milani, Li Chen. (2015). Emotional States Associated with Music. ACM Transactions on Interactive Intelligent Systems, 5(1), 1–36[10.1145/2723575]
- 26.Muna Alsallal, Rahat Iqbal, Vasile Palade, Saad Amin, Victor Chang. (2017). An integrated approach for intrinsic plagiarism detection. Future Generation Computer Systems, 96, 700–712[10.1016/j.future.2017.11.023]
- 27.Izaro Goienetxea, José María Martínez‐Otzeta, Basilio Sierra, Iñigo Mendialdua. (2018). Towards the use of similarity distances to music genre classification: A comparative study. PLoS ONE, 13(2), e0191417[10.1371/journal.pone.0191417]
- 28.Muna Alsallal, Rahat Iqbal, Saad Amin, Anne James, Vasile Palade. (2016). An Integrated Machine Learning Approach for Extrinsic Plagiarism Detection. , 203–208[10.1109/dese.2016.1]
- 29.Andrew I. Schein, Johnnie F. Caver, Randale J. Honaker, Craig Martell. (2010). AUTHOR ATTRIBUTION EVALUATION WITH NOVEL TOPIC CROSS-VALIDATION. , 206–215[10.5220/0003088402060215]
- 30.Michael W. Mara. (2014). Artist Attribution via Song Lyrics.
- 31.David Powers. (2020). Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation. arXiv (Cornell University), 2(1), 37–63[10.48550/arxiv.2010.16061]
