• Overview
• Set up your environment
• Architecture

Introduction

This repository contains the source code for the ift6758 course.

Set up your environment

Follow the below steps to set up your virtual environment:

1. Make sure that you have installed on your local machine:

   pip install virtualenv

2. Create a virtual environment:

   virtualenv venv

3. Activate the virtual environment:

   • On Windows:

   venv/Scripts/activate

   • On Mac/Linux

   source venv/bin/activate

4. Install the project requirements on the virtual environment:

   pip install -r requirements.txt

Assuming you have the Train/ test data as below in the root of the project:

• data/Public_Test

  • Image
    • oxford.csv
  • Profile
    • Profile.csv
  • Relation
    • Relation.csv
  • Text
    • liwc.csv
    • nrc.csv

• data/Train

  • Image
    • oxford.csv
  • Profile
    • Profile.csv
  • Relation
    • Relation.csv
  • Text
    • liwc.csv
    • nrc.csv

Follow below steps to generate the models and predict the test data

• Navigate to source directory: cd src

• generate model: python model_generator.py

• Now you have models generated, you can use test data to predict and generate xml files (under data/results)

• predict: python resultgenerator.py

Architecture

Below is the architecture of the system.