Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. IIT Gandhinagar
  3. Electrical Engineering
  4. EE Publications
  5. The Bull and the Bear: Summarizing Stock Market Discussions
 
  • Details

The Bull and the Bear: Summarizing Stock Market Discussions

Author(s)
A., Kumar, Ayush
D., Jani, Dhyey
J., Shah, Jay
D., Thakar, Devanshu
V., Jain, Varun
M., Singh, Mayank
Editor(s)
Calzolari, N.
Bechet, F.
Blache, P.
Choukri, K.
Cieri, C.
Declerck, T.
Goggi, S.
Isahara, H.
Maegaard, B.
Mariani, J.
Mazo, H.
Odijk, J.
Piperidis, S.
Start Page
30-11-1918
End Page
6913
Abstract
Stock market investors debate and heavily discuss stock ideas, investing strategies, news and market movements on social media platforms. The discussions are significantly longer in length and require extensive domain expertise for understanding. In this paper, we curate such discussions and construct a first-of-its-kind of abstractive summarization dataset. Our curated dataset consists of 7888 Reddit posts and manually constructed summaries for 400 posts. We robustly evaluate the summaries and conduct experiments on SOTA summarization tools to showcase their limitations. We plan to make the dataset publicly available. The sample dataset is available here: https://dhyeyjani.github.io/RSMC. � 2022 Elsevier B.V., All rights reserved.
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144378802&partnerID=40&md5=d3c757e3b3f7ec3685c0e692e422e47c
http://repository.iitgn.ac.in/handle/IITG2025/29408
Keywords
Commerce
Investments
Natural language processing systems
Domain expertise
Investing strategies
Reddit
Sample dataset
Social media platforms
Summarization
Financial markets
IITGN Knowledge Repository Developed and Managed by Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify