https://github.com/sangyx/deep-business
AI for Business is Now, and the Future.
https://github.com/sangyx/deep-business
business chatgpt paper python research
Last synced: 6 months ago
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AI for Business is Now, and the Future.
- Host: GitHub
- URL: https://github.com/sangyx/deep-business
- Owner: sangyx
- License: mit
- Created: 2023-06-18T08:42:50.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-28T05:45:51.000Z (almost 2 years ago)
- Last Synced: 2025-04-01T12:04:08.429Z (7 months ago)
- Topics: business, chatgpt, paper, python, research
- Language: Jupyter Notebook
- Homepage:
- Size: 6.26 MB
- Stars: 12
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# deep-business
> AI for Business is Now, and the Future.
deep-business utilizes ChatGPT to summarize and chat with business papers, helping researchers stay up-to-date with the latest research trends. If you find this project useful, please give it a star!
The project is built on [ChatPaper](https://github.com/kaixindelele/ChatPaper), and adds **parse templates for business papers**, which enables a more precise extraction of paper structure and content, as well as providing more insightful chat answers.
### Highlights
* **PDF Parse Templates Designed for Business Journals**. We design specialized PDF parsing templates for top business journals. A more targeted answer is generated on a more accurate and clean chapter structure and corresponding text.
* **Quick Summary**. Use the built-in prompt to summarize the paper. Get the main points in 5 minutes!
* **Auto-Reference in User Chat**. Use `` in your questions to quickly reference the corresponding chapter content and get a more focused answer.### Support Journals
**Note that you must use the official version of the paper downloaded from the journal's website to make the built-in parse templates take effect.** The supported journals and their jcode (abbreviation)* `mnsc`: Management Science
* `isre`: Information Systems Research
* `misq`: MIS Quarterly
* `mksc`: Marketing Science
* `opre`: Operations Research
* `jf`: Journal of Finance
* `jfe`: Journal of Financial Economics
* `rfs`: Review of Financial Studies### Quickly Start

[](https://colab.research.google.com/github/sangyx/deep-business/blob/main/notebook/deep_business.ipynb) to summarize paper "[Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability](https://pubsonline.informs.org/doi/abs/10.1287/mnsc.2022.4449)"
### Get Connected
If you encountered any problem / have some suggestions / want to contribute for this project, feel free to [open an issue](https://github.com/sangyx/deep-business/issues/new/choose).* [Slack](https://join.slack.com/t/deep-business/shared_invite/zt-21uxqkwjr-~08a0tKvccGe4UdHQv5zXA)
* WeChat Official Account (In Chinese):
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