55 978-3-319-91946-1, accepted as a long paper with the best paper award. Rate of acceptance for long papers : 18%. 5. HaCohen-Kerner, Y., Rosenfeld, A., Sabag, A., and Tzidkani, M., Topic-based Classification through Unigram Unmasking, In Proeedings of the 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2018, Rank B), Procedia Computer Science, Volume 126, 2018, pp. 69-76, 3-5 SEP 2018, Belgrade, Serbia. # of citations: 2. 6. HaCohen-Kerner, Y., Miller, D., Yigal Y., and Shayovitz, E., Cross-domain Authorship Attribution: Author Identification Using Char Sequences, Word Unigrams, and POS-tags Features, The 18th Evaluation Lab on Digital Text Forensics, PAN-18, CLEF conference, Avignon, France, September 10-14, 2018, electronic publishing. # of citations: 1. 7. HaCohen-Kerner, Y., Yigal, Y, Shayovitz, E., Miller, D., and Breckon, T., Author Profiling: Gender Prediction from Tweets and Images, The 18th Evaluation Lab on Digital Text Forensics. PAN-18, CLEF conference, Avignon, France, September 1014, 2018, electronic publishing. # of citations: 2. 8. HaCohen-Kerner, Y., Shayovitz, E., Rochman, S., Cahn, E., Didi, G., and BenDavid, Z., JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets Using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods, International Workshop on Semantic Evaluation 2019, SemEval-2019, June 6-7, 2019, Minneapolis, USA. 9. HaCohen-Kerner, Y., Ben-David, Z., Didi, G., Cahn, E., Rochman, S., and Shayovitz, S., JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods, International Workshop on Semantic Evaluation 2019, SemEval-2019, June 6-7, 2019, Minneapolis, USA. 10. Mughaz, D., HaCohen-Kerner, Y., and Gabbay, D., Extracting and Tagging Unstructured Citation of a Hebrew Religious Document, InSITE: 2019: Informing Science + IT Education Conferences, June 30 - July 4, 2019, Jerusalem, Israel, pp. 461-473. Santa Rosa, CA: Informing Science Institute. https://doi.org/10.28945/4345. 11. HaCohen-Kerner, Y., Text Classification and Sentiment Analysis in Social Media for the Marketing Domain, The Poster Proceedings of the 19th Industrial Conference on Data Mining, (ICDM 2019), New York, USA, July 17-21, 2019, ibai-publishing, Leipzig, Germany, pages 150-159. 12. HaCohen-Kerner, Y., Prager, A., and Cohen, A., Text Classification Using Combinations of Different Versions of Input Files, The Poster Proceedings of the 19th Industrial Conference on Data Mining, (ICDM 2019), New York, USA, July 17-21, 2019, pages 16-30. 13. HaCohen-Kerner, Y., Yigal, Y. and Miller, D., The Impact of Preprocessing on Classification of Mental Disorders, The Poster Proceedings of the 19th Industrial Conference on Data Mining, (ICDM 2019), New York, USA, July 17-21, 2019, pages 52-66. 14. HaCohen-Kerner, Y., Manor N., and Goldmeier, M., Bots and Gender Profiling of Tweets using Word and Character N-Grams, Proeedings of the 18th Evaluation Lab on Digital Text Forensics. PAN-19, CLEF conference, Lugano, Switzerland, September 9-12, 2019, electronic publishing. 15. Nicolas, L., Lyding, V., Borg, C., Forascu, C., Fort, F., Zdravkova, K., Kosem, I., Čibej, J., Holdt, Š. A., Millour, A., König, A., Rodosthenous, C., Sangati, F., Hassan, U., Katinskaia, A., Barreiro, A., and HaCohen-Kerner, Y., A Generic Approach for
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