CS 410 Group Project- Bias Detectives

We have divided our work into three different technical approaches to determine which is the most accurate for our use case. If you would like to test the code, clone this repo and follow the instructions below. You can also download a video demo of Rules and SVM.

Video Demo https://drive.google.com/file/d/1ycSjyZAlT915zT_RqlEKu-lhGaig8hyr/view?usp=sharing

Instructions for testing Rules_Model:

$pip3 install nltk

$pip3 install numpy

$pip3 install pandas

$cd Rules_Model

$python3 sentiment_test.py

Video Demo https://drive.google.com/file/d/16FyQPFDD6CV-WdYkEM-gWNPKaQADNHBd/view?usp=sharing

Instruction for testing SVM_Model:

$make install – installing all necessary packages in local dir

$make data – build corpus

$make train – train model

$make test – test result

Video Demo - https://drive.google.com/file/d/1TRKzGCTPX2U6qpORR2SQ3iWYDhAv7TuA/view

Instruction for testing Deep_Learning_Models:

1. Install Jupyter Notebook: "pip install notebook"
2. Go to notebook directory in terminal
3. Install TensorFlow: "pip install tensorflow==2.3"
4. Run "jupyter notebook"