Senti-Watcher

Villanova Computer Science Senior Project by Ava, Jason, and Justin

Background

Studies suggest that stock prices rise with positive sentiment and fall with negative sentiment, so we created Senti-Watcher: An application that allows users to choose a ticker and time period and view the correlation between the media sentiment of a publicly traded company and equity price movement. Knowing the sentiment expressed about a company creates informed decision-making in investing and increased awareness of market factors.

Installation

After pip and python have been installed:

• pip install Flask
• pip install requests
• pip install jsonify
• pip install responses
• pip install textblob
• pip install regex
• pip install logging
• pip install DateTime
• pip install Flask-Cors
• pip install boto3

After node.js has been installed:

• npm install
• npm i rebass
• npm i @rebass/preset emotion-theming
• npm install react-bootstrap bootstrap

Run

In ~/sp-jason-ava-justin directory:

• python3 run.py In ~/sp-jason-ava-justin/reactapp/sentiment-analysis-frontend directory:
• npm start