Regression, Scrapers, and Visualization
$ git clone https://github.com/Vaibhav/Stock-Analysis.gitStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Sentiment analysis and visualization of real-time tweets using R
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Data from GitHub · snapshot Sep 24, 2026