{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T10:37:51Z","timestamp":1777286271628,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:00:00Z","timestamp":1656374400000},"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":[[2022,6,28]]},"DOI":"10.1145\/3511095.3536367","type":"proceedings-article","created":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T17:32:06Z","timestamp":1655746326000},"page":"198-202","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Identifying neutral reviews from unlabeled data: An exploratory study on user ratings and word-level polarity scores"],"prefix":"10.1145","author":[{"given":"Salim","family":"Sazzed","sequence":"first","affiliation":[{"name":"Old Dominion University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,6,28]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/2021109.2021114"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-0966-4"},{"key":"e_1_3_2_2_3_1","unstructured":"Luis Chiruzzo Mathias Etcheverry and Aiala Ros\u00e1. 2020. Sentiment analysis in Spanish tweets: Some experiments with focus on neutral tweets. (2020).  Luis Chiruzzo Mathias Etcheverry and Aiala Ros\u00e1. 2020. Sentiment analysis in Spanish tweets: Some experiments with focus on neutral tweets. (2020)."},{"key":"e_1_3_2_2_4_1","unstructured":"Marco Guerini Lorenzo Gatti and Marco Turchi. 2013. Sentiment analysis: How to derive prior polarities from SentiWordNet. arXiv preprint arXiv:1309.5843(2013).  Marco Guerini Lorenzo Gatti and Marco Turchi. 2013. Sentiment analysis: How to derive prior polarities from SentiWordNet. arXiv preprint arXiv:1309.5843(2013)."},{"key":"e_1_3_2_2_5_1","first-page":"17","article-title":"The importance of neutral class in sentiment analysis of Arabic tweets","volume":"8","author":"Hamed AR","year":"2016","unstructured":"AR Hamed , Renxi Qiu , and Dayou Li . 2016 . The importance of neutral class in sentiment analysis of Arabic tweets . Int. J. Comput. Sci. Inform. Technol 8 (2016), 17 \u2013 31 . AR Hamed, Renxi Qiu, and Dayou Li. 2016. The importance of neutral class in sentiment analysis of Arabic tweets. Int. J. Comput. Sci. Inform. Technol 8 (2016), 17\u201331.","journal-title":"Int. J. Comput. Sci. Inform. Technol"},{"key":"e_1_3_2_2_6_1","volume-title":"Eighth international AAAI conference on weblogs and social media.","author":"Hutto J","year":"2014","unstructured":"Clayton\u00a0 J Hutto and Eric Gilbert . 2014 . Vader: A parsimonious rule-based model for sentiment analysis of social media text . In Eighth international AAAI conference on weblogs and social media. Clayton\u00a0J Hutto and Eric Gilbert. 2014. Vader: A parsimonious rule-based model for sentiment analysis of social media text. In Eighth international AAAI conference on weblogs and social media."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2006.00276.x"},{"key":"e_1_3_2_2_8_1","volume-title":"The measurement of observer agreement for categorical data. biometrics","author":"Landis J\u00a0Richard","year":"1977","unstructured":"J\u00a0Richard Landis and Gary\u00a0 G Koch . 1977. The measurement of observer agreement for categorical data. biometrics ( 1977 ), 159\u2013174. J\u00a0Richard Landis and Gary\u00a0G Koch. 1977. The measurement of observer agreement for categorical data. biometrics (1977), 159\u2013174."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2002472.2002491"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2346676.2346681"},{"key":"e_1_3_2_2_11_1","unstructured":"Finn\u00a0\u00c5rup Nielsen. 2011. A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. arXiv preprint arXiv:1103.2903(2011).  Finn\u00a0\u00c5rup Nielsen. 2011. A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. arXiv preprint arXiv:1103.2903(2011)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. arXiv preprint cs\/0409058(2004).  Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. arXiv preprint cs\/0409058(2004).","DOI":"10.3115\/1218955.1218990"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. arXiv preprint cs\/0506075(2005).  Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. arXiv preprint cs\/0506075(2005).","DOI":"10.3115\/1219840.1219855"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-016-0085-1"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/IRI49571.2020.00041"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-80599-9_20"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2019.00029"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100026"},{"key":"e_1_3_2_2_19_1","volume-title":"Lexicon-based methods for sentiment analysis. Computational linguistics 37, 2","author":"Taboada Maite","year":"2011","unstructured":"Maite Taboada , Julian Brooke , Milan Tofiloski , Kimberly Voll , and Manfred Stede . 2011. Lexicon-based methods for sentiment analysis. Computational linguistics 37, 2 ( 2011 ), 267\u2013307. Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011. Lexicon-based methods for sentiment analysis. Computational linguistics 37, 2 (2011), 267\u2013307."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21416"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.03.007"}],"event":{"name":"HT '22: 33rd ACM Conference on Hypertext and Social Media","location":"Barcelona Spain","acronym":"HT '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 33rd ACM Conference on Hypertext and Social Media"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511095.3536367","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511095.3536367","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:11:58Z","timestamp":1750191118000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511095.3536367"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,28]]},"references-count":21,"alternative-id":["10.1145\/3511095.3536367","10.1145\/3511095"],"URL":"https:\/\/doi.org\/10.1145\/3511095.3536367","relation":{},"subject":[],"published":{"date-parts":[[2022,6,28]]},"assertion":[{"value":"2022-06-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}