{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:08:42Z","timestamp":1755907722477,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T00:00:00Z","timestamp":1675123200000},"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":[[2023,1,31]]},"DOI":"10.1145\/3584871.3584911","type":"proceedings-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T00:17:19Z","timestamp":1687825039000},"page":"274-279","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Sentiment Analysis of Social Media: Techniques, Applications, and Reliability"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0365-3192","authenticated-orcid":false,"given":"Peter J.","family":"Ryan","sequence":"first","affiliation":[{"name":"Ryan Watson Consulting, Ryan Watson Consulting, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5190-4662","authenticated-orcid":false,"given":"Richard B.","family":"Watson","sequence":"additional","affiliation":[{"name":"Ryan Watson Consulting, Ryan Watson Consulting, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,6,26]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Social media - Statistics & Facts. 2021 [Accessed","author":"Statista Research Department","year":"2022","unstructured":"Statista Research Department. Social media - Statistics & Facts. 2021 [Accessed: 3 November 2022]; Available from: https:\/\/www.statista.com\/topics\/1164\/social-networks\/."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.05.040"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00146-014-0549-4"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2018.00138"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijece.v6i1.8982"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/10630732.2020.1753483"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1108\/IDD-08-2020-0097"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.2196\/21978"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2019.101360"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jiph.2021.08.010"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2204.12267"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-38040-3_32"},{"key":"e_1_3_2_2_13_1","volume-title":"Sentiment Analysis & Machine Learning Techniques. Data Analytics 2021 [Accessed","author":"Kumar A.","year":"2022","unstructured":"Kumar, A. Sentiment Analysis & Machine Learning Techniques. Data Analytics 2021 [Accessed: 2 November 2022]; Available from: https:\/\/vitalflux.com\/sentiment-analysis-machine-learning-techniques\/#:\u223c:text=In%20visual%20sentiment%20analysis%2C%20machine%20learning%20is%20used,unlabeled%20data%20as%20either%20positive%20or%20negative%20sentiment."},{"key":"e_1_3_2_2_14_1","volume-title":"Top 10 Best Social Media APIs (for Developers","author":"Rapid","year":"2021","unstructured":"RapidAPIStaff. Top 10 Best Social Media APIs (for Developers in 2021). [Accessed: 3 November 2022]; Available from: https:\/\/rapidapi.com\/blog\/best-social-media-apis\/."},{"key":"e_1_3_2_2_15_1","volume-title":"2","author":"Regular","year":"2022","unstructured":"re \u2014 Regular expression operations. [Accessed: 2 November 2022]; Available from: https:\/\/docs.python.org\/3\/library\/re.html."},{"key":"e_1_3_2_2_16_1","volume-title":"Sentiment Analysis using TextBlob. 2020 [Accessed","author":"Shah P.","year":"2022","unstructured":"Shah, P. Sentiment Analysis using TextBlob. 2020 [Accessed: 2 November 2022]; Available from: https:\/\/towardsdatascience.com\/my-absolute-go-to-for-sentiment-analysis-textblob-3ac3a11d524."},{"key":"e_1_3_2_2_17_1","unstructured":"Wecht C.H. and C. Bosworth Who Killed JonBenet Ramsey? Paperback. 2016: Graymalkin Media."},{"key":"e_1_3_2_2_18_1","volume-title":"How Data Analytics Is Solving Murders. 2019 [Accessed","author":"Matthews K.","year":"2022","unstructured":"Matthews, K. How Data Analytics Is Solving Murders. 2019 [Accessed: 3 November 2022]; Available from: https:\/\/towardsdatascience.com\/how-data-analytics-are-solving-murders-1cdac5432d6e."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1051\/shsconf\/202213812007"},{"key":"e_1_3_2_2_20_1","volume-title":"Proceedings of the 12th Language Resources and Evaluation Conference.","author":"Blombach A.","year":"2020","unstructured":"Blombach, A., N. Dykes, P. Heinrich, B. Kabashi and T. Proisl. A corpus of German Reddit exchanges (GeRedE). in Proceedings of the 12th Language Resources and Evaluation Conference. 2020."},{"key":"e_1_3_2_2_21_1","first-page":"601","author":"Mehta P.","year":"2020","unstructured":"Mehta, P. and S. Pandya, A review on sentiment analysis methodologies, practices and applications. International Journal of Scientific and Technology Research, 2020. 9(2): p. 601-609.","journal-title":"International Journal of Scientific and Technology Research"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.3390\/jsan11010007"},{"key":"e_1_3_2_2_23_1","unstructured":"jijopjames. US election 2020 sentiment analysis. 2020; Available from: https:\/\/github.com\/jijopjames\/US-election-2020-sentiment-analysis."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-022-00633-z"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10172082"},{"key":"e_1_3_2_2_26_1","volume-title":"Social media demographics to inform your brand's strategy","author":"Barnhart B.","year":"2022","unstructured":"Barnhart, B. Social media demographics to inform your brand's strategy in 2022. 2022 [Accessed: 19 September 2022]; Available from: https:\/\/sproutsocial.com\/insights\/new-social-media-demographics\/."},{"key":"e_1_3_2_2_27_1","volume-title":"Social Media Statistics Australia \u2013","author":"Correll D.","year":"2021","unstructured":"Correll, D. Social Media Statistics Australia \u2013 September 2021. 2021 [Accessed: 3 November 2022]; Available from: https:\/\/www.socialmedianews.com.au\/social-media-statistics-australia-september-2021\/."},{"key":"e_1_3_2_2_28_1","volume-title":"Twitter is a mainstream liberal, but a conservative wonk. 2013 [Accessed","author":"Ferenstein G.","year":"2021","unstructured":"Ferenstein, G. Twitter is a mainstream liberal, but a conservative wonk. 2013 [Accessed: 21 September 2021]; Available from: https:\/\/techcrunch.com\/2013\/03\/05\/pew-twitter-is-a-mainstream-liberal-but-a-conservative-wonk\/."},{"key":"e_1_3_2_2_29_1","first-page":"276","volume-title":"International Conference on Innovative Data Communication Technologies and Application.","author":"Nishant P.S.","year":"2019","unstructured":"Nishant, P.S., B.G.K. Mohan, B.S. Chandra, Y. Lokesh, G. Devaraju and M. Revanth, Lexicon-Based Text Analysis for Twitter and Quora, in International Conference on Innovative Data Communication Technologies and Application. 2019, Springer. p. 276-283."},{"key":"e_1_3_2_2_30_1","first-page":"415","author":"Poonguzhali R.","year":"2018","unstructured":"Poonguzhali, R., S. Vinothini, V. Waldiya and K. Livisha, Sentiment analysis on linkedin comments. International Journal of Engineering Research & Technology IJERT (ICONNECT), 2018. 6(7): p. 415. doi: DOI : 10.17577\/IJERTCONV6IS07136.","journal-title":"Sentiment analysis on linkedin comments. International Journal of Engineering Research & Technology IJERT (ICONNECT)"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2641190.2641195"},{"key":"e_1_3_2_2_32_1","volume-title":"Using Machine Learning for Sentiment Analysis: a Deep Dive. 2019 [Accessed","author":"DataRobot","year":"2022","unstructured":"DataRobot. Using Machine Learning for Sentiment Analysis: a Deep Dive. 2019 [Accessed: 31 October 2022]; Available from: https:\/\/www.datarobot.com\/blog\/using-machine-learning-for-sentiment-analysis-a-deep-dive\/."}],"event":{"name":"ICSIM 2023: 2023 The 6th International Conference on Software Engineering and Information Management","acronym":"ICSIM 2023","location":"Palmerston North New Zealand"},"container-title":["2023 The 6th International Conference on Software Engineering and Information Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584871.3584911","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3584871.3584911","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:13:23Z","timestamp":1755890003000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584871.3584911"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,31]]},"references-count":32,"alternative-id":["10.1145\/3584871.3584911","10.1145\/3584871"],"URL":"https:\/\/doi.org\/10.1145\/3584871.3584911","relation":{},"subject":[],"published":{"date-parts":[[2023,1,31]]},"assertion":[{"value":"2023-06-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}