README.md

Sentiment-Analysis-In-Dashboard-WebApp

Web Dashboard For Sentiment Analysis

Set up guide

First Get the repository files Downloading or Clonning the repository Now open the folder using any ide or editor and select python. Now navigate to console and type

streamlit run app/app.py

It will open in localhost server. Now you can use it easily.

Customize Heading and Title of your Task

t.title("Sentiment Analysis Tweets About US Airlines")
st.sidebar.title("Sentiment Analysis Tweets About US Airlines")
st.markdown(" This Application is a streamlit Dashboard to analyze Sentiment of Airlines Tweets in US 🐦")
st.sidebar.markdown(" This Application is a streamlit Dashboard to analyze Sentiment of Airlines Tweets in US 🐦")

Change the title,sidebar title,markdown and sidebar markdown according to your project.

Environment

Make sure you have all necessery python library installed. For this projects you need

• Numpy
• Pandas
• Streamlit
• Plotly
• Matplotlib
• Scikit-learn

if you don't have these libraries go to python or anaconda prompt and paste these:

pip install numpy
pip install pandas
pip install streamlit
pip install plotly
pip install matplotlib
pip install sklearn

Get touch with Me

email: [email protected]