{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:00Z","timestamp":1750309560051,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T00:00:00Z","timestamp":1732147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,21]]},"DOI":"10.1145\/3708657.3708760","type":"proceedings-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T11:13:43Z","timestamp":1748517223000},"page":"638-643","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross Domain Sentence Level Resampling (CDSLR) for Cross Validation Enhancement"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3068-1252","authenticated-orcid":false,"given":"Dodi Wisaksono","family":"Sudiharto","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Universitas Indonesia, Depok, West Java, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1834-451X","authenticated-orcid":false,"given":"Anak Agung Putri","family":"Ratna","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Universitas Indonesia, Depok, West Java, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5851-1984","authenticated-orcid":false,"given":"Prima Dewi","family":"Purnamasari","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Universitas Indonesia, Depok, West Java, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,29]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIT58132.2023.10273894"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT51525.2021.9580017"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Shane Barratt and Rishi Sharma. 2018. Optimizing for generalization in machine learning with cross-validation gradients. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1805.07072 (2018). 10.48550\/arXiv.1805.07072 arxiv:https:\/\/arXiv.org\/abs\/1805.07072\u00a0[stat.ML]","DOI":"10.48550\/arXiv.1805.07072"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Meng Cai. 2021. Natural language processing for urban research: A systematic review. Heliyon 7 3 (2021). 10.1016\/j.heliyon.2021.e06322","DOI":"10.1016\/j.heliyon.2021.e06322"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICEAST.2018.8434401"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Acep\u00a0Irham Gufroni Irani Hoeronis Nur Fajar Andi\u00a0Nur Rachman Cecep Muhamad\u00a0Sidik Ramdani and Heni Sulastri. 2024. Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia. JOIV: International Journal on Informatics Visualization 8 2 (2024) 678\u2013685. 10.62527\/joiv.8.2.1949","DOI":"10.62527\/joiv.8.2.1949"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Mohammed Hadwan Mohammed Al-Sarem Faisal Saeed and Mohammed\u00a0A Al-Hagery. 2022. An improved sentiment classification approach for measuring user satisfaction toward governmental services\u2019 mobile apps using machine learning methods with feature engineering and SMOTE technique. Applied Sciences 12 11 (2022) 5547. 10.3390\/app12115547","DOI":"10.3390\/app12115547"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","unstructured":"Anestis Kousis and Christos Tjortjis. 2021. Data mining algorithms for smart cities: A bibliometric analysis. Algorithms 14 8 (2021). 10.3390\/a14080242","DOI":"10.3390\/a14080242"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/940\/1\/012076"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Chiehyeon Lim Kwang-Jae Kim and Paul\u00a0P Maglio. 2018. Smart cities with big data: Reference models challenges and considerations. Cities 82 (2018) 86\u201399. 10.1016\/j.cities.2018.04.011","DOI":"10.1016\/j.cities.2018.04.011"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Miltiadis\u00a0D Lytras and Anna Visvizi. 2018. Who uses smart city services and what to make of it: Toward interdisciplinary smart cities research. Sustainability 10 6 (2018) 1998. 10.3390\/su10061998","DOI":"10.3390\/su10061998"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCS49078.2020.9118467"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Mariana Purba Ermatita Ermatita Abdiansah Abdiansah Handrie Noprisson Vina Ayumi Umniy Salamah Hadiguna Setiawan and Yadi Yadi. 2022. Effect of Random Splitting and Cross Validation for Indonesian Opinion Mining using Machine Learning Approach. Int. J. Adv. Comput. Sci. Appl 13 9 (2022). 10.14569\/IJACSA.2022.0130917","DOI":"10.14569\/IJACSA.2022.0130917"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/IALP.2018.8629262"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","unstructured":"Mohemmed Sha. 2023. A Cloud Based Sentiment Analysis through Logistic Regression in AWS Platform. Computer Systems Science & Engineering 45 1 (2023). 10.32604\/csse.2023.031321","DOI":"10.32604\/csse.2023.031321"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.18178\/wcse.2020.02.001"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"Aaryan Sinha Bijayalaxmi Rout Sushree Mohanty Soumya\u00a0Ranjan Mishra Hitesh Mohapatra and Samik Dey. 2024. Exploring Sentiments in the Russia-Ukraine Conflict: A Comparative Analysis of KNN Decision Tree And Logistic Regression Machine Learning Classifiers. Procedia Computer Science 235 (2024) 1068\u20131076. 10.1016\/j.procs.2024.04.101","DOI":"10.1016\/j.procs.2024.04.101"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"Jovani Taveira\u00a0de Souza Antonio Carlos\u00a0de Francisco Cassiano\u00a0Moro Piekarski and Guilherme Francisco\u00a0do Prado. 2019. Data mining and machine learning to promote smart cities: A systematic review from 2000 to 2018. Sustainability 11 4 (2019). 10.3390\/su11041077","DOI":"10.3390\/su11041077"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","unstructured":"Nemika Tyagi and Bharat Bhushan. 2023. Demystifying the role of natural language processing (NLP) in smart city applications: Background motivation recent advances and future research directions. Wireless Personal Communications 130 2 (2023) 857\u2013908. 10.1007\/s11277-023-10312-8","DOI":"10.1007\/s11277-023-10312-8"},{"key":"e_1_3_3_1_21_2","unstructured":"Willa Wahyuni. 2022. Pemangku Kepentingan Perlu Berkolaborasi dalam Membangun Jakarta Smart City. https:\/\/www.hukumonline.com\/berita\/a\/pemangku-kepentingan-perlu-berkolaborasi-dalam-membangun-jakarta-smart-city-lt6347429a50c4d\/ Accessed 17 December 2023."},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","unstructured":"Bin Wang Angela Wang Fenxiao Chen Yuncheng Wang and C-C\u00a0Jay Kuo. 2019. Evaluating word embedding models: Methods and experimental results. APSIPA transactions on signal and information processing 8 (2019) e19. 10.1017\/ATSIP.2019.12","DOI":"10.1017\/ATSIP.2019.12"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICITAMEE50454.2020.9398513"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","unstructured":"Eman\u00a0MG Younis Randa Mohamed Abdelmagid\u00a0A Ali and Alshaimaa\u00a0A Tantawy. 2024. Hybrid annotation and classification for predicting attitudes towards COVID-19 vaccines for Arabic tweets. Social Network Analysis and Mining 14 1 (2024) 137. 10.1007\/s13278-024-01294-x","DOI":"10.1007\/s13278-024-01294-x"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","unstructured":"Thein Yu and Khin\u00a0Thandar Nwet. 2020. Sentiment analysis system for myanmar news using k nearest neighbor and na\u00efve bayes. WCSE 2020 (2020) 512\u2013516. 10.18178\/wcse.2020.02.001","DOI":"10.18178\/wcse.2020.02.001"}],"event":{"name":"ICCIP 2024: 2024 the 10th International Conference on Communication and Information Processing","acronym":"ICCIP 2024","location":"Lingshui Hainan China"},"container-title":["Proceedings of the 2024 10th International Conference on Communication and Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708657.3708760","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3708657.3708760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:58Z","timestamp":1750295938000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708657.3708760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,21]]},"references-count":24,"alternative-id":["10.1145\/3708657.3708760","10.1145\/3708657"],"URL":"https:\/\/doi.org\/10.1145\/3708657.3708760","relation":{},"subject":[],"published":{"date-parts":[[2024,11,21]]},"assertion":[{"value":"2025-05-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}