GitHub - kiddycharles/STOCK-PRICE-PREDICTION-USING-TWITTER-SENTIMENT-ANALYSIS: The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.

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The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add…

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
STOCK PREDICTION USING TWITTER SENTIMENT ANALYSIS PROJECT (FINAL).ipynb		STOCK PREDICTION USING TWITTER SENTIMENT ANALYSIS PROJECT (FINAL).ipynb
Twitter_Dataset.pkl		Twitter_Dataset.pkl
UAL.csv		UAL.csv