{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:06:48Z","timestamp":1765544808438,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Institute for Information & Communications Technology Planning & Evaluation","award":["IITP-2020-2020-0-01795"],"award-info":[{"award-number":["IITP-2020-2020-0-01795"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2019R1A2C1087430"],"award-info":[{"award-number":["2019R1A2C1087430"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,22]]},"DOI":"10.1145\/3412841.3441952","type":"proceedings-article","created":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T05:10:24Z","timestamp":1619154624000},"page":"752-760","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Auto-labeling of sensor data using social media messages"],"prefix":"10.1145","author":[{"given":"Dae-Young","family":"Park","sequence":"first","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}]},{"given":"In-Young","family":"Ko","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}]}],"member":"320","published-online":{"date-parts":[[2021,4,22]]},"reference":[{"volume-title":"2019 3rd International Conference on Informatics and Computational Sciences (ICICoS). 1--6.","author":"Aldiansyah M. R.","key":"e_1_3_2_1_1_1","unstructured":"M. R. Aldiansyah and P. S. Sasongko. 2019. Twitter Sentiment Analysis About Public Opinion on 4G Smartfren Network Services Using Convolutional Neural Network. In 2019 3rd International Conference on Informatics and Computational Sciences (ICICoS). 1--6."},{"key":"e_1_3_2_1_2_1","volume-title":"Self-labelling via simultaneous clustering and representation learning. arXiv preprint arXiv:1911.05371","author":"Asano Yuki Markus","year":"2019","unstructured":"Yuki Markus Asano, Christian Rupprecht, and Andrea Vedaldi. 2019. Self-labelling via simultaneous clustering and representation learning. arXiv preprint arXiv:1911.05371 (2019)."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of machine learning research 70","author":"Bach Stephen H","year":"2017","unstructured":"Stephen H Bach, Bryan He, Alexander Ratner, and Christopher R\u00e9. 2017. Learning the structure of generative models without labeled data. Proceedings of machine learning research 70 (2017), 273."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3358695.3361842"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19092071"},{"volume-title":"Finding Local Anomalies in Very High Dimensional Space. In 2010 IEEE International Conference on Data Mining. 128--137","author":"de Vries T.","key":"e_1_3_2_1_6_1","unstructured":"T. de Vries, S. Chawla, and M. E. Houle. 2010. Finding Local Anomalies in Very High Dimensional Space. In 2010 IEEE International Conference on Data Mining. 128--137."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_8_1","first-page":"192255","article-title":"Automatic labeling of data for transfer learning","volume":"241","author":"Dube Parijat","year":"2019","unstructured":"Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, P Waston, John Kender, and Brian Belgodere. 2019. Automatic labeling of data for transfer learning. Nature 241 (2019), 192255.","journal-title":"Nature"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v12i1.15019"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00003-5"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00521"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3214366"},{"key":"e_1_3_2_1_13_1","unstructured":"Ksenia Konyushkova Raphael Sznitman and Pascal Fua. 2017. Learning active learning from data. In Advances in Neural Information Processing Systems. 4225--4235."},{"key":"e_1_3_2_1_14_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/1690219.1690287"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.06.046"},{"key":"e_1_3_2_1_17_1","volume-title":"Joel Tetreault, and Alejandro Jaimes.","author":"Padhee Swati","year":"2020","unstructured":"Swati Padhee, Tanay Kumar Saha, Joel Tetreault, and Alejandro Jaimes. 2020. Clustering of Social Media Messages for Humanitarian Aid Response during Crisis. arXiv preprint arXiv:2007.11756 (2020)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2019.105405"},{"key":"e_1_3_2_1_19_1","volume-title":"Sen Wu, Daniel Selsam, and Christopher R\u00e9.","author":"Ratner Alexander J","year":"2016","unstructured":"Alexander J Ratner, Christopher M De Sa, Sen Wu, Daniel Selsam, and Christopher R\u00e9. 2016. Data programming: Creating large training sets, quickly. In Advances in neural information processing systems. 3567--3575."},{"key":"e_1_3_2_1_20_1","volume-title":"A survey on data collection for machine learning: a big data-ai integration perspective","author":"Roh Yuji","year":"2019","unstructured":"Yuji Roh, Geon Heo, and Steven Euijong Whang. 2019. A survey on data collection for machine learning: a big data-ai integration perspective. IEEE Transactions on Knowledge and Data Engineering (2019)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.01.010"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/IOTA.2016.7562719"},{"key":"e_1_3_2_1_23_1","volume-title":"Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowledge and Information systems 42, 2","author":"Triguero Isaac","year":"2015","unstructured":"Isaac Triguero, Salvador Garc\u00eda, and Francisco Herrera. 2015. Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowledge and Information systems 42, 2 (2015), 245--284."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053160"},{"key":"e_1_3_2_1_25_1","volume-title":"Learning dependency structures for weak supervision models. arXiv preprint arXiv:1903.05844","author":"Varma Paroma","year":"2019","unstructured":"Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, and Christopher R\u00e9. 2019. Learning dependency structures for weak supervision models. arXiv preprint arXiv:1903.05844 (2019)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682847"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx106"}],"event":{"name":"SAC '21: The 36th ACM\/SIGAPP Symposium on Applied Computing","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Virtual Event Republic of Korea","acronym":"SAC '21"},"container-title":["Proceedings of the 36th Annual ACM Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3412841.3441952","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3412841.3441952","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:24Z","timestamp":1750197744000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3412841.3441952"}},"subtitle":["a case study for a smart city"],"short-title":[],"issued":{"date-parts":[[2021,3,22]]},"references-count":27,"alternative-id":["10.1145\/3412841.3441952","10.1145\/3412841"],"URL":"https:\/\/doi.org\/10.1145\/3412841.3441952","relation":{},"subject":[],"published":{"date-parts":[[2021,3,22]]},"assertion":[{"value":"2021-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}