ahtesham11/SP-server

Coursera's MOOCs Sentiment Analysis: Dimensionality Reduction Visualization and Model Prediction Explanation (server)

Python

Coursera's MOOCs Sentiment Analysis: Dimensionality Reduction Visualization and Model Prediction Explanation (server)

Modules

Data Scraper
Database (RethinkDB)
Cron job
Sentiment Analyzer

Tech stack

Frontend - Vue.js, Google Maps API, dc.js, d3.js
Server-side - Node.js OR Python-based framework
Machine Learning - scikit-learn OR/AND tensorflow

Python modules

langdetect
nltk
numpy
scipy
pandas
virtualenv
scikit-learn
rethinkdb
selenium
bokeh
mpld3

Prerequisites

Python version 3.3 or higher
pip (Python package manager, install depending on your OS)

sudo pip install -U pip virtualenv

Installation (execute from the project root folder)

virtualenv venv
. venv/bin/activate
pip install --editable .
pip install -r requirements.txt

Download data.zip from this link and extract inside the app folder

https://goo.gl/ZKXxkK The data on the link above also has the trained models.

You can view the raw data that was scraped from the Coursera website here: https://www.kaggle.com/septa97/100k-courseras-course-reviews-dataset

Running the application

./run.sh

The server is now serving on localhost:5000