Stock Market Growth and Decline Using ARIMA Model and Sentiment Analysis
Researchers have been developing and entering the technological era since the 18th century. Before everyone else, social networks brought people from distant nations together. Social network applications such as Reddit, Twitter, Facebook, Instagram, LinkedIn, and others are examples of associate degree programs. Each application has a unique purpose. Investors who want to buy stocks take use of this social networking information. They stay up with a few companies thanks to this information. In order to assess people's sentiments regarding a certain stock, we will be using stock-related news data in this instance. Using TEXTBLOB sentiment analysis, this analysis will provide feedback on the corporate so that we may be prepared to see a rise or fall in relation to investors or firm performance.
Authors
- Santosh Kumar Singh (ORCID: https://orcid.org/0000-0001-8215-8562)
- Bhaskar Roy (ORCID: https://orcid.org/0000-0002-6516-3682)
- Sanjaya Kumar Sarangi
- Saroj Kumar Sahoo (ORCID: https://orcid.org/0000-0002-3966-2496)
- Sandipan Biswas
- Nitin Nitin
Institutions
- Techno India University (IN)
- Centurion University of Technology and Management (IN)
- Utkal University (IN)
- Parul University (IN)
Publication Details
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1109/isacc65211.2025.10969263
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00