EdwardNgo/MLDM

Project for Introduction to machine learning and data mining at HUST

Text Classification for newspaper

Project for "Introduction to Machine Learning and Data Mining" at HUST.

Built With

• React
• Python3
• Flask

Getting Started

Make sure you have python3 and nodejs installed on your computer. Recommended to install on Ubuntu.

To get a local copy up and running follow these simple steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• Preprocessed Data

  Download at: https://drive.google.com/drive/folders/1iX4VklC9gxY6DbFEcaKvuZAgx9mvntXo?usp=sharing

• Raw Data

  Download at: https://github.com/duyvuleo/VNTC

• Model And Text Embedding

  Download at: https://drive.google.com/file/d/17CeL37I9ldj4y445EHRFQuwRSf34oQb8/view?usp=sharing

  Include: svm model, naive bayes model, neural-net model, tfidf vector, svd vector

Installation

1. Clone the repo

git clone https://github.com/EdwardNgo/MLDM

2. Install python packages

pip install -r requirements.txt

3. Install frontend packages

cd react-complete-guide
npm install

4. If you dont want train model yourself run script in ipynb file: MLDM.ipynb, TextClassification.ipynb

Link colab for train notebook:

https://colab.research.google.com/drive/1-LHQdwu69mvCKsP6pQFHi9EMuwiBPcGg?usp=sharing, https://colab.research.google.com/drive/1ELORh6xi9rbZmpDXHxTo6NOhKtI0kuaM?usp=sharing

5. If you download my model

python app.py
cd react-complete-guide && npm run start