{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:14:47Z","timestamp":1750306487342,"version":"3.41.0"},"reference-count":34,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2016,5,24]],"date-time":"2016-05-24T00:00:00Z","timestamp":1464048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Basic Research Program (973 Program) of China","award":["2012CB316400"],"award-info":[{"award-number":["2012CB316400"]}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["61333005, 61373119 and 61222209"],"award-info":[{"award-number":["61333005, 61373119 and 61222209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100013286","name":"Specialized Research Fund for the Doctoral Program of Higher Education","doi-asserted-by":"crossref","award":["20126102110043"],"award-info":[{"award-number":["20126102110043"]}],"id":[{"id":"10.13039\/501100013286","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Microsoft"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Knowl. Discov. Data"],"published-print":{"date-parts":[[2016,7,27]]},"abstract":"<jats:p>Micro-blog has been increasingly used for the public to express their opinions, and for organizations to detect public sentiment about social events or public policies. In this article, we examine and identify the key problems of this field, focusing particularly on the characteristics of innovative words, multi-media elements, and hierarchical structure of Chinese \u201cWeibo.\u201d Based on the analysis, we propose a novel approach and develop associated theoretical and technological methods to address these problems. These include a new sentiment word mining method based on three wording metrics and point-wise information, a rule set model for analyzing sentiment features of different linguistic components, and the corresponding methodology for calculating sentiment on multi-granularity considering emoticon elements as auxiliary affective factors. We evaluate our new word discovery and sentiment detection methods on a real-life Chinese micro-blog dataset. Initial results show that our new diction can improve sentiment detection, and they demonstrate that our multi-level rule set method is more effective, with the average accuracy being 10.2% and 1.5% higher than two existing methods for Chinese micro-blog sentiment analysis. In addition, we exploit visualization techniques to study the relationships between online sentiment and real life. The visualization of detected sentiment can help depict temporal patterns and spatial discrepancy.<\/jats:p>","DOI":"10.1145\/2821513","type":"journal-article","created":{"date-parts":[[2016,5,25]],"date-time":"2016-05-25T18:07:06Z","timestamp":1464199626000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog"],"prefix":"10.1145","volume":"10","author":[{"given":"Zhiwen","family":"Yu","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhitao","family":"Wang","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University; The Hong Kong Polytechnic University, Kowloon, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liming","family":"Chen","sequence":"additional","affiliation":[{"name":"De Montfort University, Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Guo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjie","family":"Li","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Kowloon, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,5,24]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1944566.1944571"},{"key":"e_1_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Johan Bollen Huina Mao and Alberto Pepe. 2011a. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. In ICWSM. 450--453.  Johan Bollen Huina Mao and Alberto Pepe. 2011a. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. In ICWSM. 450--453.","DOI":"10.1609\/icwsm.v5i1.14171"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"volume-title":"Semantic Web and Web Science","author":"Cui Anqi","key":"e_1_2_1_4_1"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/775152.775226"},{"key":"e_1_2_1_6_1","unstructured":"Zhendong Dong. 2000. Hownet knowledge database. Retrieved from http:\/\/www.keenage.com.  Zhendong Dong. 2000. Hownet knowledge database. Retrieved from http:\/\/www.keenage.com."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2466627.2466671"},{"key":"e_1_2_1_8_1","unstructured":"Nobuhiro Kaji and Masaru Kitsuregawa. 2007. Building lexicon for sentiment analysis from massive collection of HTML documents. In EMNLP-CoNLL. 1075--1083.  Nobuhiro Kaji and Masaru Kitsuregawa. 2007. Building lexicon for sentiment analysis from massive collection of HTML documents. In EMNLP-CoNLL. 1075--1083."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2212776.2212856"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220555"},{"key":"e_1_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Efthymios Kouloumpis Theresa Wilson and Johanna Moore. 2011. Twitter sentiment analysis: The good the bad and the OMG&excl;. In ICWSM. 538--541.  Efthymios Kouloumpis Theresa Wilson and Johanna Moore. 2011. Twitter sentiment analysis: The good the bad and the OMG&excl;. In ICWSM. 538--541.","DOI":"10.1609\/icwsm.v5i1.14185"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.v58:12"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2014.01.015"},{"volume-title":"Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining. 80--86","year":"1998","author":"Liu Bing","key":"e_1_2_1_14_1"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1978975"},{"volume-title":"Ahmed Hassan Yousef, and Hoda Korashy Mohamed","year":"2014","author":"Medhat Walaa","key":"e_1_2_1_16_1"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557156"},{"volume-title":"Proceedings of the 7th International Workshop on Semantic Evaluation Exercises (SemEval-2013)","year":"2013","author":"Mohammad Saif M.","key":"e_1_2_1_18_1"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.1"},{"key":"e_1_2_1_20_1","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1609\/icwsm.v4i1.14031","article-title":"From tweets to polls: Linking text sentiment to public opinion time series","volume":"11","author":"O\u2019Connor Brendan","year":"2010","journal-title":"ICWSM"},{"key":"e_1_2_1_21_1","unstructured":"Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In LREC. 1320--1326.  Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In LREC. 1320--1326."},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35176-1_32"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367627"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020614"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367513"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073153"},{"volume-title":"Semantic Web and Web Science","author":"Wang Jingang","key":"e_1_2_1_28_1"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220619"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/1699648.1699700"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742801"},{"volume-title":"Ghazala Kausar, Cindy Ngai Sing-Bik, Rita Gill Singh, Juan Carlos Olmos Alcoy, Udita Sawhney, Preet Hiradhar, and others.","year":"2013","author":"Yuan Bo","key":"e_1_2_1_32_1"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339772"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1142\/S179384061100219X"}],"container-title":["ACM Transactions on Knowledge Discovery from Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2821513","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2821513","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:48:30Z","timestamp":1750225710000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2821513"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,24]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,7,27]]}},"alternative-id":["10.1145\/2821513"],"URL":"https:\/\/doi.org\/10.1145\/2821513","relation":{},"ISSN":["1556-4681","1556-472X"],"issn-type":[{"type":"print","value":"1556-4681"},{"type":"electronic","value":"1556-472X"}],"subject":[],"published":{"date-parts":[[2016,5,24]]},"assertion":[{"value":"2015-03-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-09-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-05-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}