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  • Open Access
  • © 2021

From Opinion Mining to Financial Argument Mining

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  • This book is open access, which means that you have free and unlimited access

  • Provides an overview of financial opinion mining

  • Discusses recent trends in detail and points out research directions of financial opinion mining

  • Presents FinTech applications of financial opinion mining technique

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Softcover Book
USD 37.99
Price excludes VAT (USA)

Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
  2. Introduction

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 1-8Open Access
  3. Modeling Financial Opinions

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 9-20Open Access
  4. Sources and Corpora

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 21-33Open Access
  5. Organizing Financial Opinions

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 35-54Open Access
  6. Numerals in Financial Narratives

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 55-71Open Access
  7. FinTech Applications

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 73-87Open Access
  8. Perspectives and Conclusion

    • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
    Pages 89-95Open Access

About this book



Keywords

  • Open Access
  • financial opinion mining
  • text mining in finance
  • financial technology application
  • FinTech
  • argument mining in finance
  • opinion quality evaluation
  • numeral understanding

Authors and Affiliations

  • Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

    Chung-Chi Chen, Hsin-Hsi Chen

  • Department of Computer Science, National Chengchi University, Taipei, Taiwan

    Hen-Hsen Huang

About the authors

Chung-Chi Chen is a Ph.D. candidate in the Department of Computer Science and Information Engineering at National Taiwan University and a lecturer in the Department of Quantitative Finance, National Tsing Hua University. His research focuses on financial opinion mining and numeral understanding. He is the organizer of FinNum shared task series in NTCIR (2018-2020) and the FinNLP workshop series in IJCAI (2019-2020). He won the 1st prize in both the Jih Sun & Microsoft FinTech Hackathon (2019) and the Standard Chartered FinTech competition (2018) and the 2nd prize in both the Jih Sun & Microsoft FinTech Hackathon (2018) and the E.SUN FHC FinTech Hackathon (2017). 

Hen-Hsen Huang received the Ph.D. degree in Computer Science and Information Engineering from National Taiwan University, Taiwan. Dr. Huang is currently an assistant professor in the Department of Computer Science at National Chengchi University. His research interests include natural language processing, computational linguistics, and information retrieval. His work has been published in SCI/SSCI journals and international conferences, including WWW, IJCAI, ACL, CIKM, and COLING. Dr. Huang's award and honors include the Honorable Mention of Doctoral Dissertation Award of ACLCLP in 2014 and the Honorable Mention of Master Thesis Award of ACLCLP in 2008. He serves as the registration chair of TAAI 2017, and as PC members of ACL2018, NAACL 2018, ACL 2017, COLING 2016, NAACL 2016, and ACL 2015, and will be general co-chair of SIGIR 2023. 

Hsin-Hsi Chen received the Ph.D. degree in electrical engineering in 1988 from National Taiwan University, Taiwan. He is a distinguished professor in Department of Computer Science and Information Engineering, National Taiwan University. His research interests are natural language processing, information retrieval and extraction, and web mining. Dr. Chen served as senior PC members of ACM SIGIR 2006, 2007, 2008 and 2009, area/track chairs of AAAI 2020, AACL 2020, EMNLP 2018, ACL 2012, ACL-IJCNLP 2009 and ACM CIKM 2008, and PC members of many conferences. He received Google research awards in 2007 and 2012, awards of Microsoft Research Asia in 2008 and 2009, MOST Outstanding Research Award in 2017, and the AmTRAN Chair Professorship in 2018.

Bibliographic Information

Buying options

Softcover Book
USD 37.99
Price excludes VAT (USA)