54 4. HaCohen-Kerner, Y., Shoham, Y., Schweitzer, N., Retrieval of Religious Quotations in Articles, Their Correction, and Identification of the Location of their Sources (in Hebrew) ( איחזור ציטוטים תורניים במאמרים, תיקונם והבאת מיקומי מקורותיהם ), B.D.D. (Bekhol Derakhekha Daehu), Journal of Torah and Scholarship, No. 32, pp. 55-81, Bar-Ilan University, ISSN: 0793-3894, SEP 2008, 2017. 5. HaCohen-Kerner, Y., and Hagege, R., Language and Gender Classification of Speech Files Using Supervised Machine Learning Methods, Cybernetics and Systems, Volume 48, 6-7, pp. 510-535, NOV 2017, https://doi.org/10.1080/01969722.2017.1383654. Impact factor: 1.681, SJR ranking: Q3. Core ranking: B. 6. Mughaz, D., HaCohen-Kerner, Y., and Gabbay, D., Citation-Based Prediction of Birth and Death Years of Authors. To appear in Polibits (Research journal on Computer Science and Computer Engineering with applications), 2019. 7. Mughaz, D., HaCohen-Kerner, Y., and Gabbay, D., Text Mining for Evaluating Authors' Birth and Death Years, ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 13 Issue 1, Article 7, January 2019, NY, USA, doi:10.1145/3281631. Impact Factor: 2.538, SJR ranking: Q1. Core ranking: B. 8. HaCohen-Kerner, Y., Dilmon, R., Hone, M., Ben-Basan, M.A., Automatic Classification of Complaint Letters according to Service Provider Categories, Information Processing & Management (IPM) 56(6):102102, 2019, Impact factor: 3.892, 5-year Impact factor: 3.295, SJR ranking: Q1. Core ranking: A 9. HaCohen-Kerner, Y., Miller, D., Yigal, Y., The Influence of Preprocessing on Text Classification using a Bag-of-Words Representation, PLoS ONE 15(5): e0232525. https://doi.org/10.1371/journal.pone.0232525 (22 pages), SJR ranking: Q1, Public Library of Science, 2020. Peer-Reviewed Papers in Refereed Conference Proceedings 1. Liebeskind,C., Liebeskind, S., and HaCohen-Kerner, Y., Comment relevance classification in Facebook, In A. Gelbukh (Ed.), Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing. CICLing2017 (Rank B), pp. 241-254, Budapest, Hungary, April 17-23, 2017, pp. 241-254, LNCS, volume 10762. # of citations: 5. 2. HaCohen-Kerner, Y., Ido Z., and Ya'akobov, R., Stance Classification of Tweets Using Skip Char N-Grams, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD 2017), (Rank: A), Skopje, Macedonia, September 18-22, 2017, Applied Data Science Track, pp. 266-278, Springer LNCS, Cham. # of citations: 8. 3. Wiesen, A., and HaCohen-Kerner, Y., Overview of Uni-modal and Multi-modal Representations for Classification Tasks, The 23rd International Conference on Application of Natural Language to Information Systems (NLDB2018), June 13-15, 2018, Conservatoire National des Arts et Métiers, Paris, France, Silberztein, M., Atigui, F., Kornyshova, E,. Métais, E., Meziane,F. (Eds.), NLDB 2018, LNCS 10859, Springer, Heidelberg, pp. 397–404, 2018, ISBN 978-3-319-91946-1. # of citations: 2. 4. Liebeskind, C. and HaCohen-Kerner, Y., Verbal Multi-Word Expressions in Yiddish, The 23rd International Conference on Application of Natural Language to Information Systems (NLDB2018), 13-15 Jun 2018, Conservatoire National des Arts et Métiers. Paris, France, Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane,F. (Eds.), NLDB 2018, LNCS 10859, Springer, Heidelberg, pp. 205–216, 2018, ISBN
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