{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T05:29:00Z","timestamp":1744435740544,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031341106"},{"type":"electronic","value":"9783031341113"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-34111-3_37","type":"book-chapter","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T08:03:56Z","timestamp":1685520236000},"page":"439-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Multi-feature Transformer for\u00a0Multiclass Cyberbullying Detection in\u00a0Bangla"],"prefix":"10.1007","author":[{"given":"Zaman","family":"Wahid","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdullah","family":"Al Imran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,1]]},"reference":[{"key":"37_CR1","unstructured":"Ahmed, M.F., Mahmud, Z., Biash, Z.T., Ryen, A.A.N., Hossain, A., Ashraf, F.B.: Bangla online comments dataset. Mendeley Data 1 (2021)"},{"key":"37_CR2","unstructured":"Ahmed, M.F., Mahmud, Z., Biash, Z.T., Ryen, A.A.N., Hossain, A., Ashraf, F.B.: Cyberbullying detection using deep neural network from social media comments in bangla language. arXiv preprint arXiv:2106.04506 (2021)"},{"key":"37_CR3","doi-asserted-by":"crossref","unstructured":"Ahmed, M.T., Rahman, M., Nur, S., Islam, A., Das, D.: Deployment of machine learning and deep learning algorithms in detecting cyberbullying in bangla and romanized bangla text: a comparative study. In: 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp. 1\u201310. IEEE (2021)","DOI":"10.1109\/ICAECT49130.2021.9392608"},{"key":"37_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1007\/978-3-030-66046-8_38","volume-title":"Computational Data and Social Networks","author":"A Al Imran","year":"2020","unstructured":"Al Imran, A., Wahid, Z., Ahmed, T.: BNnet: a deep neural network for the identification of satire and fake bangla news. In: Chellappan, S., Choo, K.-K.R., Phan, N.H. (eds.) CSoNet 2020. LNCS, vol. 12575, pp. 464\u2013475. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-66046-8_38"},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"Albawi, S., Mohammed, T.A., Al-Zawi, S.: Understanding of a convolutional neural network. In: 2017 International Conference on Engineering and Technology (ICET), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"key":"37_CR6","doi-asserted-by":"publisher","unstructured":"Aporna, A.A., Azad, I., Amlan, N.S., Mehedi, M.H.K., Mahbub, M.J.A., Rasel, A.A.: Classifying offensive speech of bangla text and analysis using explainable AI. In: Advances in Computing and Data Sciences: 6th International Conference, ICACDS 2022, Kurnool, India, 22\u201323 April 2022, Revised Selected Papers, Part I. pp. 133\u2013144. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-12638-3_12","DOI":"10.1007\/978-3-031-12638-3_12"},{"issue":"1","key":"37_CR7","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/s13278-021-00852-x","volume":"12","author":"TT Aurpa","year":"2022","unstructured":"Aurpa, T.T., Sadik, R., Ahmed, M.S.: Abusive bangla comments detection on facebook using transformer-based deep learning models. Social Netw. Anal. Min. 12(1), 24 (2022)","journal-title":"Social Netw. Anal. Min."},{"issue":"2","key":"37_CR8","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s11749-016-0481-7","volume":"25","author":"G Biau","year":"2016","unstructured":"Biau, G., Scornet, E.: A random forest guided tour. TEST 25(2), 197\u2013227 (2016). https:\/\/doi.org\/10.1007\/s11749-016-0481-7","journal-title":"TEST"},{"issue":"1","key":"37_CR9","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1017\/S1351324916000334","volume":"23","author":"KW Church","year":"2017","unstructured":"Church, K.W.: Word2vec. Nat. Lang. Eng. 23(1), 155\u2013162 (2017)","journal-title":"Nat. Lang. Eng."},{"key":"37_CR10","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"37_CR11","doi-asserted-by":"publisher","unstructured":"Emon, M.I.H., Iqbal, K.N., Mehedi, M.H.K., Mahbub, M.J.A., Rasel, A.A.: Detection of bangla hate comments and cyberbullying in social media using nlp and transformer models. In: Advances in Computing and Data Sciences: 6th International Conference, ICACDS 2022, Kurnool, India, 22\u201323 April 2022, Revised Selected Papers, Part I, pp. 86\u201396. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-12638-3_8","DOI":"10.1007\/978-3-031-12638-3_8"},{"key":"37_CR12","doi-asserted-by":"crossref","unstructured":"Graves, A., Graves, A.: Long short-term memory. In: Supervised Sequence Labelling with Recurrent Neural Networks, pp. 37\u201345 (2012)","DOI":"10.1007\/978-3-642-24797-2_4"},{"key":"37_CR13","doi-asserted-by":"crossref","unstructured":"Han, X., Yue, Q., Chu, J., Han, Z., Shi, Y., Wang, C.: Multi-feature fusion transformer for chinese named entity recognition. In: 2022 41st Chinese Control Conference (CCC), pp. 4227\u20134232. IEEE (2022)","DOI":"10.23919\/CCC55666.2022.9902313"},{"key":"37_CR14","unstructured":"Huang, Z., Xu, W., Yu, K.: Bidirectional lstm-crf models for sequence tagging. arXiv preprint arXiv:1508.01991 (2015)"},{"key":"37_CR15","doi-asserted-by":"crossref","unstructured":"Jahan, M., Ahamed, I., Bishwas, M.R., Shatabda, S.: Abusive comments detection in bangla-english code-mixed and transliterated text. In: 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/ICIET48527.2019.9290630"},{"key":"37_CR16","doi-asserted-by":"publisher","first-page":"91855","DOI":"10.1109\/ACCESS.2022.3197662","volume":"10","author":"M Kowsher","year":"2022","unstructured":"Kowsher, M., Sami, A.A., Prottasha, N.J., Arefin, M.S., Dhar, P.K., Koshiba, T.: Bangla-bert: transformer-based efficient model for transfer learning and language understanding. IEEE Access 10, 91855\u201391870 (2022)","journal-title":"IEEE Access"},{"issue":"18","key":"37_CR17","doi-asserted-by":"publisher","first-page":"2395","DOI":"10.1161\/CIRCULATIONAHA.106.682658","volume":"117","author":"MP LaValley","year":"2008","unstructured":"LaValley, M.P.: Logistic regression. Circulation 117(18), 2395\u20132399 (2008)","journal-title":"Circulation"},{"key":"37_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19460-3","volume-title":"Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data","author":"B Liu","year":"2011","unstructured":"Liu, B., et al.: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, vol. 1. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-19460-3"},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Liu, G., Li, C., Yang, Q.: Neuralwalk: trust assessment in online social networks with neural networks. In: IEEE INFOCOM 2019-IEEE Conference on Computer Communications, pp. 1999\u20132007. IEEE (2019)","DOI":"10.1109\/INFOCOM.2019.8737469"},{"key":"37_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Y., Zheng, H., Feng, X., Chen, Z.: Short-term traffic flow prediction with conv-lstm. In: 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/WCSP.2017.8171119"},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Mahmud, M.R., Afrin, M., Razzaque, M.A., Miller, E., Iwashige, J.: A rule based bengali stemmer. In: 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 2750\u20132756. IEEE (2014)","DOI":"10.1109\/ICACCI.2014.6968484"},{"key":"37_CR22","unstructured":"Meng, Y., et al.: Pretraining text encoders with adversarial mixture of training signal generators. arXiv preprint arXiv:2204.03243 (2022)"},{"key":"37_CR23","doi-asserted-by":"crossref","unstructured":"Nova, F.F., Rifat, M.R., Saha, P., Ahmed, S.I., Guha, S.: Online sexual harassment over anonymous social media in Bangladesh. In: Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, pp. 1\u201312 (2019)","DOI":"10.1145\/3287098.3287107"},{"issue":"2","key":"37_CR24","doi-asserted-by":"publisher","first-page":"1883","DOI":"10.4249\/scholarpedia.1883","volume":"4","author":"LE Peterson","year":"2009","unstructured":"Peterson, L.E.: K-nearest neighbor. Scholarpedia 4(2), 1883 (2009)","journal-title":"Scholarpedia"},{"issue":"10","key":"37_CR25","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1002\/aic.690381003","volume":"38","author":"DC Psichogios","year":"1992","unstructured":"Psichogios, D.C., Ungar, L.H.: A hybrid neural network-first principles approach to process modeling. AIChE J. 38(10), 1499\u20131511 (1992)","journal-title":"AIChE J."},{"key":"37_CR26","unstructured":"Rezwana Rashid, T.T.: Laws protecting victims from cyber harassment (2021). https:\/\/www.thedailystar.net\/law-our-rights\/news\/laws-protecting-victims-cyber-harassment-2196491"},{"key":"37_CR27","doi-asserted-by":"crossref","unstructured":"Ritu, S.S., Mondal, J., Mia, M.M., Al Marouf, A.: Bangla abusive language detection using machine learning on radio message gateway. In: 2021 6th International Conference on Communication and Electronics Systems (ICCES), pp. 1725\u20131729. IEEE (2021)","DOI":"10.1109\/ICCES51350.2021.9489131"},{"key":"37_CR28","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 (2019)"},{"key":"37_CR29","doi-asserted-by":"publisher","first-page":"38999","DOI":"10.1109\/ACCESS.2022.3165563","volume":"10","author":"O Sen","year":"2022","unstructured":"Sen, O., et al.: Bangla natural language processing: a comprehensive analysis of classical, machine learning, and deep learning based methods. IEEE Access 10, 38999\u201339044 (2022)","journal-title":"IEEE Access"},{"issue":"7","key":"37_CR30","first-page":"749","volume":"3","author":"G Sharma","year":"2017","unstructured":"Sharma, G.: Pros and cons of different sampling techniques. Int. J. Appl. Res. 3(7), 749\u2013752 (2017)","journal-title":"Int. J. Appl. Res."},{"key":"37_CR31","series-title":"Integrated Series in Information Systems","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/978-1-4899-7641-3_9","volume-title":"Machine Learning Models and Algorithms for Big Data Classification","author":"S Suthaharan","year":"2016","unstructured":"Suthaharan, S.: Support vector machine. In: Machine Learning Models and Algorithms for Big Data Classification. ISIS, vol. 36, pp. 207\u2013235. Springer, Boston, MA (2016). https:\/\/doi.org\/10.1007\/978-1-4899-7641-3_9"},{"key":"37_CR32","first-page":"3197","volume":"98","author":"KR Talpur","year":"2020","unstructured":"Talpur, K.R., Yuhaniz, S.S., Amir, N.: Cyberbullying detection: current trends and future directions. J. Theor. Appl. Inf. Technol. 98, 3197\u20133208 (2020)","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"37_CR33","doi-asserted-by":"publisher","unstructured":"Wahid, Z., Imran, A.A., Rifat, M.R.I.: BNnetXtreme: an enhanced methodology for Bangla fake news detection online. In: Computational Data and Social Networks: 11th International Conference, CSoNet 2022, 5\u20137 December 2022, Proceedings, pp. 157\u2013166. Springer, Heidelberg (2023). https:\/\/doi.org\/10.1007\/978-3-031-26303-3_14","DOI":"10.1007\/978-3-031-26303-3_14"},{"key":"37_CR34","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.procs.2021.05.075","volume":"189","author":"MA Wani","year":"2021","unstructured":"Wani, M.A., Agarwal, N., Bours, P.: Sexual-predator detection system based on social behavior biometric (ssb) features. Procedia Comput. Sci. 189, 116\u2013127 (2021)","journal-title":"Procedia Comput. Sci."},{"key":"37_CR35","first-page":"713","volume":"15","author":"GI Webb","year":"2010","unstructured":"Webb, G.I., Keogh, E., Miikkulainen, R.: Na\u00efve bayes. Encycl. Mach. Learn. 15, 713\u2013714 (2010)","journal-title":"Encycl. Mach. Learn."},{"key":"37_CR36","unstructured":"Zhao, Y., Tao, X.: ZYJ123@ DravidianLangTech-EACL2021: offensive language identification based on xlm-roberta with dpcnn. In: Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, pp. 216\u2013221 (2021)"}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34111-3_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T08:19:11Z","timestamp":1685521151000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34111-3_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031341106","9783031341113"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34111-3_37","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Le\u00f3n","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifipaiai.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"185","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"75","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,1","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This event was held in hybrid mode.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}