Analyzes data from Piazza through sentiment analysis and keyword checking

This requires a database from Piazza-Scraper.

Create a conda environment using

conda create --name ENV_NAME python=3.4

Install from the list of requirements.

pip install -r requirements.txt

To run the visualization, do the following. We assume that you have already started your conda environment using

source activate ENV_NAME

1. If the database hasn't already been created (e.g. this is the first time you are runening the scraper), run the scraper, and copy the database over to this directory.

   python -i analyze.py

   analysis = PiazzaAnalyzer() analysis.analyze_posts()

The project structure is as following

• analyze.py- Main Analysis Module
• models.py - Models for SQLAlchemy ORM
• utils.py - Helpful utilities for parsing Piazza blocks
• rake.py - Python3 Implementation of Rapid Automatic Keyword Extraction - Ported from RAKE