This application can scraping tweets from Twitter, and label each tweet and do sentiment analytics, then display the wordcloud for each sentiment

Following this step to run the app :

• Clone this repo
• Create a virtual environment inside the folder
• Installing all requirements library using this command

  pip install -r requirements.txt
  

• Install Mongodb
• Create a database called sentimentdb and create two collections called tweets and keywords
• And App is ready to running, hit this command

  streamlit run src/app.py
  

Some of the main libraries that are used in this application :

• Twint
• Streamlit
• TextBlob