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題名:應用遷移學習與文字探勘分析致股東報告書
書刊名:中華會計學刊
作者:陳予得林嬋娟
作者(外文):Chen, Yu-teLin, Chan-jane
出版日期:2022
卷期:18:1
頁次:頁123-165
主題關鍵詞:遷移學習情緒分析盈餘預測致股東報告書Transfer learningSentiment analysisEarnings predictionReports to shareholders
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:3
期刊論文
1.Li, Feng(2008)。Annual report readability, current earnings, and earnings persistence。Journal of Accounting and Economics,45(2/3),221-247。  new window
2.Li, F.、Lundholm, R.、Minnis, M.(2013)。A Measure of Competition Based on 10-K Filings。Journal of Accounting Research,51(2),399-436。  new window
3.Henry, E.(2008)。Are investors influenced by how earnings press releases are written?。International Journal of Business Communication,45(4),363-407。  new window
4.Loughran, Tim、McDonald, Bill(2011)。When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks。The Journal of Finance,66(1),35-65。  new window
5.Rogers, Jonathan L.、Van Buskirk, Andrew、Zechman, Sarah L. C.(2011)。Disclosure tone and shareholder litigation。The Accounting Review,86(6),2155-2183。  new window
6.Bryan, S. H.(1997)。Incremental information content of required disclosures contained in management discussion and analysis。The Accounting Review,72(2),285-301。  new window
7.Miller, Brian P.(2010)。The effects of reporting complexity on small and large investor trading。The Accounting Review,85(6),2107-2143。  new window
8.Pan, S. J.、Yang, Q.(2010)。A Survey on Transfer Learning。IEEE Transactions on Knowledge and Data Engineering,22(10),1345-1359。  new window
9.Cole, C. J.、Jones, C. L.(2004)。The usefulness of MD&A disclosures in the retail industry。Journal of Accounting, Auditing and Finance,19(4),361-388。  new window
10.Li, F.(2010)。Textual analysis of corporate disclosures: A survey of the literature。Journal of Accounting Literature,29,143-165。  new window
11.Huang, A. H.、Zang, A. Y.、Zheng, R.(2014)。Evidence on the Information Content of Text in Analyst Reports。The Accounting Review,89(6),2151-2180。  new window
12.Price, S. M.、Doran, J. S.、Peterson, D. R.、Bliss, B. A.(2012)。Earnings conference calls and stock returns: the incremental informativeness of textual tone。Journal of Banking and Finance,36(4),992-1011。  new window
13.Loughran, Tim、McDonald, Bill(2016)。Textual Analysis in Accounting and Finance: A Survey。Journal of Accounting Research,54(4),1187-1230。  new window
14.Li, F.(2010)。The Information Content of Forward-Looking Statements in Corporate Filings: A Naïve Bayesian Machine Learning Approach。Journal of Accounting Research,48(5),1049-1102。  new window
15.Hoberg, G.、Phillips, G.(2016)。Text-Based Network Industries and Endogenous Product Differentiation。Journal of Political Economy,124(5),1423-1465。  new window
16.Antweiler, Werner、Frank, Murray Z.(2004)。Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards。The Journal of Finance,59(3),1259-1294。  new window
17.Bochkay, K.、Levine, C. B.(2019)。Using MD&A to improve earnings forecasts。Journal of Accounting, Auditing & Finance,34(3),458-482。  new window
18.Li, M.、Li, W.、Wang, F.、Jia, X.、Rui, G.(2021)。Applying BERT to analyze investor sentiment in stock market。Neural Computing & Applications,33,4663-4676。  new window
19.Siano, F.、Wysocki, P.(2021)。Transfer Learning and Textual Analysis of Accounting Disclosures: Applying Big Data Methods to Small(er) Data Sets。Accounting Horizons,35(3),217-244。  new window
20.Sun, Y.(2010)。Do MD&A Disclosures Help Users Interpret Disproportionate Inventory Increases?。The Accounting Review,85(4),1411-1440。  new window
會議論文
1.Vaswani, A.、Shazeer, N.、Parmar, N.、Uszkoreit, J.、Jones, L.、Gomez, A. N.、Kaiser, L.、Polosukhin, I.(2017)。Attention is all you need。The 31th Annual Conference on Neural Information Processing Systems。Neural Information Processing Systems Foundation。5998-6010。  new window
2.Peters, M. E.、Neumann, M.、Iyyer, M.、Gardner, M.、Clark, C.、Lee, K.、Zettlemoyer, L.(2018)。Deep contextualized word representations。New Orleans, LA。2227-2237。  new window
3.Elwany, E.、Moore, D.、Oberoi, G.(2019)。BERT goes to law school: Quantifying the competitive advantage of access to large legal corpora in contract understanding。Workshop on document intelligence at NeurIPS 2019。  new window
4.Hiew, J. Z. G.、Huang, X.、Mou, H.、Li, D.、Wu, Q.、Xu, Y.(2019)。Bert-based financial sentiment index and LSTM-based stock return predictability。2019 Conference on Neural Information Processing Systems。  new window
研究報告
1.Siano, F.、Wysocki, P.(2019)。The primacy of numbers in financial and accounting disclosures: Implications for textual analysis research。Boston University。  new window
學位論文
1.劉妍伶(2011)。年報文字資訊訊息框架效果之研究(碩士論文)。國立臺灣大學。  延伸查詢new window
2.石慧妤(2009)。應用企業年報中之文字資訊於盈餘預測之研究(碩士論文)。國立臺灣大學。  延伸查詢new window
3.黃娟娟(2012)。公司年報文字探勘與財務預警資訊內涵(博士論文)。逢甲大學。new window  延伸查詢new window
單篇論文
1.Radford, Alec,Narasimhan, Karthik,Salimans, Tim,Sutskever, Ilya(2018)。Improving language understanding by generative pre-training,https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf。  new window
2.Delvin, J.,Chang, M. W.,Lee, K.,Toutanova, K.(2019)。BERT: Pre-training of deep bidirectional transformer for language understanding。  new window
 
 
 
 
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