Live Twitter Sentiment Analysis

Get the sentiment labels of live tweets!

Try the web application here.

Overview

• This app uses Tweepy to get tweets from Twitter based on the input name/phrase.
• It then processes the tweets through HuggingFace transformers pipeline function for sentiment analysis.
• The resulting sentiments and corresponding tweets are then put in a dataframe for display which is what you see as result.

WEB APPLICATION - Live Twitter Sentiment Analysis

Run Locally

• Clone the repository

  git clone https://github.com/zaidmukaddam/live-twitter-sentiment-analysis.git

• Navigate to the directory

  cd live-twitter-sentiment-analysis

• Create a virtual environment

  python3 -m venv venv

• Install the dependencies:

  pip install -r requirements.txt
  

• Run the app:

  streamlit run app.py
  

Tech Stacks Used:

• Tweepy
• Hugging Face
• Transformers
• Twitter API
• Python