/Multi-Class-Text-Classification

This repository contains code which try to classify text into different classes ('entertainment', 'bussiness', 'science/tech', 'health'). LSTM has been used to train the model

Primary LanguageJupyter Notebook

Multi-Class-Text-Classification

Steps to execute the code

Step 1. Clone the repository

git clone https://github.com/Priyabrata017/Multi-Class-Text-Classification

cd Multi-Class-Text-Classification/

git checkout master

Step 2. Install the requirements. Open command prompt. cd <the_path_where_you_have_cloned>. Then write the following command

pip install -r requirements.txt

Step 3. Then type python main.py

Copy the URL and paste in the browser cmd

Then type the text you want to predict and hit the predict button cmd

The output will be displayed as cmd