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Stock Market Prediction via Text Mining by minhtamle2022 is a document available to read on EtoBox.
What is Stock Market Prediction via Text Mining about?
The paper presents a method for predicting stock market trends using a combination of time series analysis and text mining techniques applied to corporate news articles and stock index prices from Vietnam. By utilizing machine learning algorithms like Support Vector Machines (SVM) and a robust feature selection process, the proposed approach achieves a prediction accuracy of up to 75%. The study emphasizes the importance of integrating unstructured data from news sources with structured stock data to enhanc
- Author
- minhtamle2022
- Language
- EN