NLP256-Final-Project

Intro

This repo is for final project of CSE256 NLP at UCSD. The core task is to use binary logistic regression classifier to complete text classification. It contains two task:

Task1: sentiment classfication based on reviews
Task2: text classification based on clinical statements

We also leveraged Lime and Shap to explain the models with visualization.

Update

Jun 3th 2019

Form Validation: no more than 2 words
Lime highlight for task 1
Shap Force bar for task 2
adaptive height for shap force bar

Sceenshots

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