├── .ipynb_checkpoints └── Bert_Training-checkpoint.ipynb ├── Bert_Training_T.ipynb ├── README.md ├── Sentiment_Classificationa.ipynb ├── __pycache__ ├── preprocess.cpython-310.pyc └── preprocess.cpython-39.pyc ├── aapl_tweets.csv ├── images ├── imagez ├── Bert accuracy visualization.jpg ├── Example_Output.PNG ├── NB Acc visualization.jpg ├── NB accuracy scores.jpg ├── Prediction accuracy using Bert.jpg ├── README.md ├── WhatsApp Image 2023-05-30 at 18.12.38.jpg ├── nb accuracy visualization.jpg ├── sentiment cleaned data.jpg ├── tweets data.jpg ├── vedar model acc visualization.jpg ├── vedar model accuracy score.jpg └── vedar model text data.jpg ├── preprocess.py ├── requirements.txt ├── stock_data.csv ├── streamlit_app.py ├── train ├── README.md ├── stock_data.csv └── stock_data_cleaned.csv └── twitter_api.ipynb /.ipynb_checkpoints/Bert_Training-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/.ipynb_checkpoints/Bert_Training-checkpoint.ipynb -------------------------------------------------------------------------------- /Bert_Training_T.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/Bert_Training_T.ipynb -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/README.md -------------------------------------------------------------------------------- /Sentiment_Classificationa.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/Sentiment_Classificationa.ipynb -------------------------------------------------------------------------------- /__pycache__/preprocess.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/__pycache__/preprocess.cpython-310.pyc -------------------------------------------------------------------------------- /__pycache__/preprocess.cpython-39.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/__pycache__/preprocess.cpython-39.pyc -------------------------------------------------------------------------------- /aapl_tweets.csv: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /images: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /imagez/Bert accuracy visualization.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/Bert accuracy visualization.jpg -------------------------------------------------------------------------------- /imagez/Example_Output.PNG: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/Example_Output.PNG -------------------------------------------------------------------------------- /imagez/NB Acc visualization.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/NB Acc visualization.jpg -------------------------------------------------------------------------------- /imagez/NB accuracy scores.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/NB accuracy scores.jpg -------------------------------------------------------------------------------- /imagez/Prediction accuracy using Bert.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/Prediction accuracy using Bert.jpg -------------------------------------------------------------------------------- /imagez/README.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /imagez/WhatsApp Image 2023-05-30 at 18.12.38.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/WhatsApp Image 2023-05-30 at 18.12.38.jpg -------------------------------------------------------------------------------- /imagez/nb accuracy visualization.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/nb accuracy visualization.jpg -------------------------------------------------------------------------------- /imagez/sentiment cleaned data.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/sentiment cleaned data.jpg -------------------------------------------------------------------------------- /imagez/tweets data.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/tweets data.jpg -------------------------------------------------------------------------------- /imagez/vedar model acc visualization.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/vedar model acc visualization.jpg -------------------------------------------------------------------------------- /imagez/vedar model accuracy score.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/vedar model accuracy score.jpg -------------------------------------------------------------------------------- /imagez/vedar model text data.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/imagez/vedar model text data.jpg -------------------------------------------------------------------------------- /preprocess.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/preprocess.py -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/requirements.txt -------------------------------------------------------------------------------- /stock_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/stock_data.csv -------------------------------------------------------------------------------- /streamlit_app.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/streamlit_app.py -------------------------------------------------------------------------------- /train/README.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /train/stock_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/train/stock_data.csv -------------------------------------------------------------------------------- /train/stock_data_cleaned.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/train/stock_data_cleaned.csv -------------------------------------------------------------------------------- /twitter_api.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sardarosama/Stock-Market-Trend-Prediction-Using-Sentiment-Analysis/HEAD/twitter_api.ipynb --------------------------------------------------------------------------------