avinashprj / nlp-guide

NLP basics and applied ML

NLP-Guide

NLP basics and applied ML

Welcome to the NLP session , Today you will be building a hands-on streamlit web app for twitter sentiment analysis and what's so special about it? It's realt-time not static no dataset, we will scrape the data from twitter and show realtime sentimental analysis. Let's get right into it.

🔼Follow this for hands-on

Build a twitter sentiment analysis tool

Create a github repo & clone it locally use gitbash

  git clone https://link-to-project

Go to the project directory

  cd my-project

open this folder in vscode & open a new terminal(powershell)

  code .

create a virtual environment for your project. Pls make sure you have installed virtualenv

pip install virtualenv

virtualenv env_name

env_name\Scripts\activate
  

Download and upload the requirements.txt file from this repo to your folder. Now install the dependencies

  wget -O requirements.txt https://raw.githubusercontent.com/prathikshetty2002/NLP-Guide/main/requirements.txt

  pip install -r requirements.txt

Create an app.py file in vscode and do the below steps

import streamlit as st

st.title('Hello world!')
  

Now save the file and run it in terminal

streamlit run app.py

Additionally you can also run this stremlit template

streamlit Hello

You will see something like this interface on your localhost!

🎉👨‍💻 You built your first streamlit app now let's actually start building it into something meaningful🚀

You can read the streamlit docs to follow up with the hands-on it is a life-saver✅

Streamlit Docs

🔼Demo of the app

Click here

🔼Checkout the NLP Guide for 2023 - GUIDE.md for NLP 2023 Guide

Connect with me💫

twitter linkedln github