{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T21:44:27Z","timestamp":1757540667033,"version":"3.41.2"},"reference-count":27,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2017,11,20]],"date-time":"2017-11-20T00:00:00Z","timestamp":1511136000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AJIM"],"published-print":{"date-parts":[[2017,11,20]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The prediction of pre-election polls is an issue of concern for both politicians and voters. The Taiwan nine-in-one election held in 2014 ended with jaw-dropping results; apparently, traditional polls did not work well. As a remedy to this problem, the purpose of this paper is to utilize the comments posted on social media to analyze civilians\u2019 views on the two candidates for mayor of Taichung City, Chih-chiang Hu, and Chia-Lung Lin.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>After conducting word segmentation and part-of-speech tagging for the collected reviews, this study constructs the opinion phrase extraction rules for identifying the opinion words associated with the attribute words. Next, this study classifies the attribute words into six municipal governance-related topics and calculates the opinion scores for each candidate. Finally, this study uses correspondence analysis to transform opinion information on the candidates into a graphical display to facilitate the interpretation of voters\u2019 views.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results show that the topics of candidates\u2019 backgrounds and transport infrastructure were the two most critical factors for the election prediction. Based on the predication, Lin outscores Hu by 17.74 percent which is close to the real election results.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>This study proposes new rules for the extraction of Chinese opinion words associated with attribute words.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>This study applies Chinese semantic analysis to assist in predicting election results and investigating the topics of concern to voters.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The proposed opinion phrase extraction rules for Chinese social media, as well as the election forecast process, can provide valuable references for political parties and candidates to plan better nomination and election strategies.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-02-2017-0035","type":"journal-article","created":{"date-parts":[[2017,9,14]],"date-time":"2017-09-14T07:22:16Z","timestamp":1505373736000},"page":"688-701","source":"Crossref","is-referenced-by-count":7,"title":["Web mining for the mayoral election prediction in Taiwan"],"prefix":"10.1108","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6984-0057","authenticated-orcid":false,"given":"Jia-Yen","family":"Huang","sequence":"first","affiliation":[]}],"member":"140","reference":[{"first-page":"36","article-title":"The political blogosphere and the 2004 US election: divided they blog","year":"2005","key":"key2020120414380390800_ref001"},{"issue":"4","key":"key2020120414380390800_ref002","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1177\/0894439307305628","article-title":"Weblog campaigning in the German Bundestag election 2005","volume":"25","year":"2007","journal-title":"Social Science Computer Review"},{"issue":"6","key":"key2020120414380390800_ref003","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1080\/1369118X.2011.587882","article-title":"Trust, confidence, and credibility: citizen responses on twitter to opinion polls during the 2010 UK general election","volume":"14","year":"2011","journal-title":"Information, Communication & Society"},{"key":"key2020120414380390800_ref004","doi-asserted-by":"crossref","unstructured":"Ampofo, L., Collister, S., O\u2019Loughlin, B. and Chadwick, A. 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