----------------------- R E A D M E ----------------------------
------------- BEFORE RUNNING:
To run, the following text files need to be on source folder of the project:
- Combined_News_DJIA.csv
- stopWords.txt
------------- REFERENCES:
Sun, J. (2016, August). Daily News for Stock Market Prediction, Version 1.
Retrieved [March 9th, 2022] from https://www.kaggle.com/aaron7sun/stocknews.
Stop words extracted from:
https://www.ranks.nl/stopwords
-------------- NOTES:
Data (news headlines and DJIA 1 or 0 feature) was split as follows:
1989 (70% training, 15% development, 15% testing)
1392 training
298 development
299 testing
----------------------- R E A D M E ----------------------------
charlesbueso/svmStockSentiment
Simple support vector classifier implemented with scikit-learn for classifying positive or negative sentiment associated with the Dow Jones index, using binary label to predict whether the market rose or fell on any given specific date.
Python