A Stock Price Prediction Model Based On Investor Sentiment and Lexical Data Analysis (Lda)
Internet finance’s growth has sparked interest in investing, especially in the stock market, which is complex due to its data volume and volatility. Accurate stock price prediction is crucial to manage risks and enhance returns, leading scholars to use statistical methods to create linear models for stock price trends. The methodology integrates sentiment analysis, lexical data analysis, and intelligent algorithms.
Authors
- Manish Kumar (ORCID: https://orcid.org/0000-0002-1311-0976)
- M. Lakshmi Anusha
- J. Sridhar
- Maddi Hruthik
- Rupuneni Charitha
- Karjala Chirudeep
Institutions
- Institute of Engineering (NP)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/i3ceet61722.2024.10993650
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00