{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:30:02Z","timestamp":1778758202354,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T00:00:00Z","timestamp":1608249600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Yonsei University Faculty Research Fund","award":["2019-22-0199"],"award-info":[{"award-number":["2019-22-0199"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,12,18]]},"DOI":"10.1145\/3443279.3443284","type":"proceedings-article","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T22:50:44Z","timestamp":1612219844000},"page":"75-80","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Understanding the Prediction Mechanism of Sentiments by XAI Visualization"],"prefix":"10.1145","author":[{"given":"Chaehan","family":"So","sequence":"first","affiliation":[{"name":"Information & Interaction Design Humanities, Arts & Social Sciences Division, Yonsei University Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,2]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"D. Tsui \"Predicting Stock Price Movement Using Social Media Analysis \" 2017.  D. Tsui \"Predicting Stock Price Movement Using Social Media Analysis \" 2017."},{"key":"e_1_3_2_1_2_1","volume-title":"Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward,\" Arxiv","author":"Mudinas A.","year":"2019","unstructured":"A. Mudinas , D. Zhang , and M. Levene , \" Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward,\" Arxiv , 2019 . A. Mudinas, D. Zhang, and M. Levene, \"Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward,\" Arxiv, 2019."},{"issue":"8","key":"e_1_3_2_1_3_1","first-page":"4090","article-title":"Text mining and sentiment analysis for predicting box office success","volume":"12","author":"Kim Y.","year":"2018","unstructured":"Y. Kim , M. Kang , and S. R. Jeong , \" Text mining and sentiment analysis for predicting box office success ,\" KSII Trans. Internet Inf. Syst. , vol. 12 , no. 8 , pp. 4090 -- 4102 , 2018 , doi: 10.3837\/tiis.2018.08.030. 10.3837\/tiis.2018.08.030 Y. Kim, M. Kang, and S. R. Jeong, \"Text mining and sentiment analysis for predicting box office success,\" KSII Trans. Internet Inf. Syst., vol. 12, no. 8, pp. 4090--4102, 2018, doi: 10.3837\/tiis.2018.08.030.","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"e_1_3_2_1_4_1","first-page":"315","volume-title":"ACM Symp. Appl. Comput.","author":"De Kok S.","year":"2018","unstructured":"S. De Kok , L. Punt , R. Van Den Puttelaar, K. Ranta, K. Schouten, and F. Frasincar, \"Review-level aspect-based sentiment analysis using an ontology,\" Proc . ACM Symp. Appl. Comput. , pp. 315 -- 322 , 2018 , doi: 10.1145\/3167132.3167163. 10.1145\/3167132.3167163 S. De Kok, L. Punt, R. Van Den Puttelaar, K. Ranta, K. Schouten, and F. Frasincar, \"Review-level aspect-based sentiment analysis using an ontology,\" Proc. ACM Symp. Appl. Comput., pp. 315--322, 2018, doi: 10.1145\/3167132.3167163."},{"key":"e_1_3_2_1_5_1","first-page":"10","article-title":"Aspect-based Sentiment Analysis on Hotel Reviews","author":"Yu Y.","year":"2016","unstructured":"Y. Yu , \" Aspect-based Sentiment Analysis on Hotel Reviews ,\" Arxiv Prepr. , p. 10 , 2016 . Y. Yu, \"Aspect-based Sentiment Analysis on Hotel Reviews,\" Arxiv Prepr., p. 10, 2016.","journal-title":"Arxiv Prepr."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.99.3.550"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhv086"},{"issue":"4","key":"e_1_3_2_1_8_1","first-page":"421","article-title":"The independence of positive and negative affect","volume":"41","author":"Diener E.","year":"1994","unstructured":"E. Diener and R. A. Emmons , \" The independence of positive and negative affect ,\" Clin. Endocrinol. (Oxf). , vol. 41 , no. 4 , pp. 421 -- 424 , 1994 , doi: 10.1111\/j.1365-2265.1994.tb02571.x. 10.1111\/j.1365-2265.1994.tb02571.x E. Diener and R. A. Emmons, \"The independence of positive and negative affect,\" Clin. Endocrinol. (Oxf)., vol. 41, no. 4, pp. 421--424, 1994, doi: 10.1111\/j.1365-2265.1994.tb02571.x.","journal-title":"Clin. Endocrinol. (Oxf)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8080832"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2012.00460.x"},{"key":"e_1_3_2_1_12_1","first-page":"26","volume-title":"NAACL HLT 2010 Work. Comput. Approaches to Anal. Gener. Emot. Text, no. June","author":"Mohammad S. M.","year":"2010","unstructured":"S. M. Mohammad and P. D. Turney , \" Emotions evoked by common words and phrases: using mechanical turk to create an emotion lexicon,\" CAAGET '10 Proc . NAACL HLT 2010 Work. Comput. Approaches to Anal. Gener. Emot. Text, no. June , pp. 26 -- 34 , 2010 . S. M. Mohammad and P. D. Turney, \"Emotions evoked by common words and phrases: using mechanical turk to create an emotion lexicon,\" CAAGET '10 Proc. NAACL HLT 2010 Work. Comput. Approaches to Anal. Gener. Emot. Text, no. June, pp. 26--34, 2010."},{"key":"e_1_3_2_1_13_1","volume-title":"Classification and Regression Training","author":"Kuhn M.","year":"2018","unstructured":"M. Kuhn , \"caret : Classification and Regression Training .\" 2018 . M. Kuhn, \"caret: Classification and Regression Training.\" 2018."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v011.i09"},{"key":"e_1_3_2_1_15_1","volume-title":"rpart: Recursive Partitioning and Regression Trees","author":"Therneau T.","year":"2019","unstructured":"T. Therneau and B. Atkinson , \" rpart: Recursive Partitioning and Regression Trees .\" 2019 . T. Therneau and B. Atkinson, \"rpart: Recursive Partitioning and Regression Trees.\" 2019."},{"issue":"3","key":"e_1_3_2_1_16_1","first-page":"18","article-title":"Classification and Regression by randomForest","volume":"2","author":"Liaw A.","year":"2002","unstructured":"A. Liaw and M. Wiener , \" Classification and Regression by randomForest ,\" R News , vol. 2 , no. 3 , pp. 18 -- 22 , 2002 . A. Liaw and M. Wiener, \"Classification and Regression by randomForest,\" R News, vol. 2, no. 3, pp. 18--22, 2002.","journal-title":"R News"},{"key":"e_1_3_2_1_17_1","volume-title":"Generalized Boosted Regression Models","author":"Greenwell B.","year":"2019","unstructured":"B. Greenwell , B. Boehmke , J. Cunningham , and G. B. M. Developers , \"gbm : Generalized Boosted Regression Models .\" 2019 . B. Greenwell, B. Boehmke, J. Cunningham, and G. B. M. Developers, \"gbm: Generalized Boosted Regression Models.\" 2019."},{"key":"e_1_3_2_1_18_1","first-page":"1","volume-title":"Ml","author":"Doshi-Velez F.","year":"2017","unstructured":"F. Doshi-Velez and B. Kim , \" Towards A Rigorous Science of Interpretable Machine Learning,\" no . Ml , pp. 1 -- 13 , 2017 . F. Doshi-Velez and B. Kim, \"Towards A Rigorous Science of Interpretable Machine Learning,\" no. Ml, pp. 1--13, 2017."},{"issue":"84","key":"e_1_3_2_1_19_1","first-page":"1","article-title":"DALEX: Explainers for Complex Predictive Models in R","volume":"19","author":"Biecek P.","year":"2018","unstructured":"P. Biecek , \" DALEX: Explainers for Complex Predictive Models in R ,\" J. Mach. Learn. Res. , vol. 19 , no. 84 , pp. 1 -- 5 , 2018 . P. Biecek, \"DALEX: Explainers for Complex Predictive Models in R,\" J. Mach. Learn. Res., vol. 19, no. 84, pp. 1--5, 2018.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_20_1","article-title":"Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the 'Rashomon' Perspective","volume":"20","author":"Fisher A.","year":"2019","unstructured":"A. Fisher , C. Rudin , and F. Dominici , \" Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the 'Rashomon' Perspective ,\" J. Mach. Learn. Res. , vol. 20 , 2019 . A. Fisher, C. Rudin, and F. Dominici, \"Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the 'Rashomon' Perspective,\" J. Mach. Learn. Res., vol. 20, 2019.","journal-title":"J. Mach. Learn. Res."}],"event":{"name":"NLPIR 2020: 4th International Conference on Natural Language Processing and Information Retrieval","location":"Seoul Republic of Korea","acronym":"NLPIR 2020","sponsor":["FernUniversit\u00e4t in Hagen"]},"container-title":["Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3443279.3443284","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3443279.3443284","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:03Z","timestamp":1750197783000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3443279.3443284"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,18]]},"references-count":20,"alternative-id":["10.1145\/3443279.3443284","10.1145\/3443279"],"URL":"https:\/\/doi.org\/10.1145\/3443279.3443284","relation":{},"subject":[],"published":{"date-parts":[[2020,12,18]]},"assertion":[{"value":"2021-02-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}