How to create a sentiment analysis dashboard using Python, Streamlit, and ChatGPT
Blog post from Nylas
A comprehensive guide outlines the process of creating a Sentiment Analysis Dashboard using Python, Streamlit, and ChatGPT to analyze customer feedback efficiently. The tutorial emphasizes the importance of understanding customer sentiment and provides step-by-step instructions for setting up the necessary environment, including creating a ChatGPT account and installing required Python packages such as Flask, Streamlit, and OpenAI. The guide details the creation of a Flask web form to collect feedback, which is then processed through a Python script for sentiment analysis using ChatGPT. The tutorial also covers setting up a project structure, creating HTML templates, and implementing a Streamlit dashboard to visualize sentiment results along with ratings and dates. Readers are guided through running the application and accessing the dashboard in a web browser, with additional resources available for further exploration of email integration using the Nylas API.
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