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題名 Exploring the relationships between annual earnings and subjective expressions in US financial statements
作者 Chen, Chien-Liang;Liu, Chao-Lin;Chang, Yuan-Chen;Tsai, H.-P.
陳建良;劉昭麟;張元晨
貢獻者 經濟學系; 資訊科學系 ;財管系
關鍵詞 Information Extraction; NAtural language processing; Opinion mining; Sentiment analysis; Text mining; Algorithms; Artificial intelligence; Computational linguistics; Electronic commerce; Industry; Natural language processing systems; Profitability; Random processes; Finance
日期 2011-10
上傳時間 8-十月-2015 17:51:12 (UTC+8)
摘要 Subjective assertions in financial statements influence the judgments of market participants when they assess the value and profitability of the reporting corporations. Hence, the managements of corporations may attempt to conceal the negative and to accentuate the positive with "prudent" wording. To excavate this accounting phenomenon hidden behind financial statements, we designed an artificial intelligence based strategy to investigate the linkage between financial status measured by annual earnings and subjective multi-word expressions (MWEs). We applied the conditional random field (CRF) models to identify opinion patterns in the form of MWEs, and our approach outperformed previous work employing unigram models. Moreover, our novel algorithms take the lead to discover the evidences that support the common belief that there are inconsistencies between the implications of the written statements and the reality indicated by the figures in the financial statements. Unexpected negative earnings are often accompanied by ambiguous and mild statements and sometimes by promises of glorious future. © 2011 IEEE.
關聯 Proceedings - 2011 8th IEEE International Conference on e-Business Engineering, ICEBE 2011, 論文編號 6104589,1-8
資料類型 conference
DOI http://dx.doi.org/10.1109/ICEBE.2011.47
dc.contributor 經濟學系; 資訊科學系 ;財管系
dc.creator (作者) Chen, Chien-Liang;Liu, Chao-Lin;Chang, Yuan-Chen;Tsai, H.-P.
dc.creator (作者) 陳建良;劉昭麟;張元晨zh_TW
dc.date (日期) 2011-10
dc.date.accessioned 8-十月-2015 17:51:12 (UTC+8)-
dc.date.available 8-十月-2015 17:51:12 (UTC+8)-
dc.date.issued (上傳時間) 8-十月-2015 17:51:12 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/78914-
dc.description.abstract (摘要) Subjective assertions in financial statements influence the judgments of market participants when they assess the value and profitability of the reporting corporations. Hence, the managements of corporations may attempt to conceal the negative and to accentuate the positive with "prudent" wording. To excavate this accounting phenomenon hidden behind financial statements, we designed an artificial intelligence based strategy to investigate the linkage between financial status measured by annual earnings and subjective multi-word expressions (MWEs). We applied the conditional random field (CRF) models to identify opinion patterns in the form of MWEs, and our approach outperformed previous work employing unigram models. Moreover, our novel algorithms take the lead to discover the evidences that support the common belief that there are inconsistencies between the implications of the written statements and the reality indicated by the figures in the financial statements. Unexpected negative earnings are often accompanied by ambiguous and mild statements and sometimes by promises of glorious future. © 2011 IEEE.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings - 2011 8th IEEE International Conference on e-Business Engineering, ICEBE 2011, 論文編號 6104589,1-8
dc.subject (關鍵詞) Information Extraction; NAtural language processing; Opinion mining; Sentiment analysis; Text mining; Algorithms; Artificial intelligence; Computational linguistics; Electronic commerce; Industry; Natural language processing systems; Profitability; Random processes; Finance
dc.title (題名) Exploring the relationships between annual earnings and subjective expressions in US financial statements
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ICEBE.2011.47
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ICEBE.2011.47