WallStreetBets: Stock Research Posts Classifier
A discussion platform and financial chat called WallStreetBets is one of the famous places in social media used by investors and traders to talk about stock trading. Our goal is to help in the democratization of stock trading by providing convenient access to expert stock research information. As much as mainstream news outlets are more commonly known, why we have picked this sub-reddit is because while there are people that post nice in-depth research data within the thousands of meme shards here. Therefore, in our dataset will have r/WallStreetBets post which we need to classify into information giving posts and humor based less value news. In that way, readers could filter unwanted posts they might neither need nor would like to read using the said button. They are trading stocks to make day-to- day profits like they would selling candy or app downloads, for example. That being said, with so much noise in the mix it can sometimes be difficult to filter out what articles provide real value vs those that may not really offer any useful or insightful content. We hope to research and classify these threads accordingly making it easier to access only the best of this incredible pool of knowledge. London Letterbox Club strives to make stock research available to everyone, however more importantly our mission is that we inspire an individual with the knowledge and tools needed for them individually as informed intelligent individuals towards trading or investing in Stock. By leveraging the collective wisdom of the r/WallStreetBets community and harnessing the power of data analysis and classification techniques, we strive to create a valuable resource that can benefit traders and investors of all levels, from novices to seasoned professionals.
Authors
- Kamlesh Kumar Singh (ORCID: https://orcid.org/0000-0002-9382-6068)
- Atul Srivastava (ORCID: https://orcid.org/0000-0002-0644-5743)
- R. Z. Hasan (ORCID: https://orcid.org/0009-0009-5896-9141)
- Vijay Shankar Sharma (ORCID: https://orcid.org/0000-0001-6177-9108)
- Anuradha Pillai
Institutions
- Manipal Academy of Higher Education (IN)
- Symbiosis International University (IN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/upcon62832.2024.10983648
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00