{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:14:08Z","timestamp":1743012848573,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031271984"},{"type":"electronic","value":"9783031271991"}],"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\/978-3-031-27199-1_9","type":"book-chapter","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T09:03:19Z","timestamp":1681117399000},"page":"85-94","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiclass Classification of Online Reviews Using NLP & Machine Learning for Non-english Language"],"prefix":"10.1007","author":[{"given":"Priyanka","family":"Sharma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pritee","family":"Parwekar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,4,11]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Keung, P., Lu, Y., Szarvas, G., Smith, N.A.: The multilingual Amazon reviews corpus. arXiv2010.02573v1 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.369"},{"key":"9_CR2","unstructured":"Amazon Inc. Amazon customer reviews dataset. https:\/\/registry.opendata.aws\/amazon-reviews\/ (2015)"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1162\/tacl_a_00288","volume":"7","author":"M Artetxe","year":"2019","unstructured":"Artetxe, M., Schwenk, H.: Massively multilingual sentence embeddings for zeroshot cross-lingual transfer and beyond. Trans. Assoc. Comput. Linguist. 7, 597\u2013610 (2019)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"9_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1007\/978-3-540-45175-4_13","volume-title":"Research and Advanced Technology for Digital Libraries","author":"N Bel","year":"2003","unstructured":"Bel, N., Koster, C.H.A., Villegas, M.: Cross-lingual text categorization. In: Koch, T. (ed.) Research and Advanced Technology for Digital Libraries. Lecture Notes in Computer Science, vol. 2769, pp. 126\u2013139. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/978-3-540-45175-4_13"},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1162\/tacl_a_00051","volume":"5","author":"P Bojanowski","year":"2017","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguis. 5, 135\u2013146 (2017)","journal-title":"Trans. Assoc. Comput. Linguis."},{"key":"9_CR6","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of tricks for efficient text classification. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Vol. 2, Short Papers, pp 427\u2013431, Valencia, Spain (2017)","DOI":"10.18653\/v1\/E17-2068"},{"key":"9_CR8","unstructured":"Singh, R.P., Haque, R., Hasanuzzaman, M., Way, A.: Identifying complaints from product reviews: a case study on Hindi, CEUR-WS.org, Vol. 2771, Paper 28, Ireland (2020)"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Bowman, S.R., Angeli, G., Potts, C., Manning, C.D.: A large annotated corpus for learning natural language inference. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics in (2015)","DOI":"10.18653\/v1\/D15-1075"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Conneau, A., et al.: Unsupervised cross-lingual representation learning at scale. arXiv preprint arXiv:1911.02116 (2019)","DOI":"10.18653\/v1\/2020.acl-main.747"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Conneau, A.: Xnli: evaluating crosslingual sentence representations. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/D18-1269"},{"key":"9_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1007\/978-3-540-71496-5_49","volume-title":"Advances in Information Retrieval","author":"G de Melo","year":"2007","unstructured":"de Melo, G., Siersdorfer, S.: Multilingual text classification using ontologies. In: Amati, G., Carpineto, C., Romano, G. (eds.) Advances in Information Retrieval. Lecture Notes in Computer Science, vol. 4425, pp. 541\u2013548. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-71496-5_49"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Yu, S., Su, J., Luo, D.: Improving bert-based text classification with auxiliary sentence and domain knowledge. IEEE Access, 7, 176600176612 (2019)","DOI":"10.1109\/ACCESS.2019.2953990"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Babhulgaonkar, A., Sonavane, S.: Language identification for multilingual machine translation. In: IEEE International Conference on Communication and Signal Processing, pp. 0401\u20130405 (2020)","DOI":"10.1109\/ICCSP48568.2020.9182184"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Wu, G., He, Y., Hu, X.: Entity linking: a problem to extract corresponding entity with knowledge base IEEE Access, 6220\u00a0\u2013 6231 (2016)","DOI":"10.1109\/ACCESS.2017.2787787"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"G\u00fcrcan, F.: Multi-class classification of turkish texts with machine learning algorithms In: IEEE (2018)","DOI":"10.1109\/ISMSIT.2018.8567307"}],"container-title":["Lecture Notes in Computer Science","Intelligent Human Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-27199-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T09:08:55Z","timestamp":1681117735000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-27199-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031271984","9783031271991"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-27199-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"11 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IHCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Human Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tashkent","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Uzbekistan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ihci2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"148","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":"47","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":"13","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":"32% - 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","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","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}