How to build a sentiment analysis dashboard using MotherDuck & Fabi.ai

Learn how to create a powerful sentiment analysis dashboard for customer reviews using MotherDuck's prompt() function and Fabi.ai. Perfect for data analysts, product managers, and customer success teams.

In this step-by-step tutorial, you'll learn:
✓ How to use MotherDuck's built-in language model for sentiment analysis
✓ Creating interactive dashboards with Fabi.ai
✓ Implementing semantic search using vector embeddings
✓ Building dynamic filters for real-time data exploration
✓ Setting up automated refresh systems

Technical requirements to follow along:
MotherDuck account (Standard plan)
Fabi.ai account (Free tier works!)
Basic SQL and Python knowledge

00:00 Introduction
00:56 What we’re building in this tutorial
01:50 Overview of Fabi.ai & Motherduck
02:50 Looking at our data in Motherduck
04:16 Using MotherDuck’s prompt() function and embedded SLM
06:12 Building an interactive reporting in Fabi.ai
06:40: Create a SQL cell to pull our data
07:41 Query the DataFrame generated by the SQL cell
08:24 Create dynamic filters on our data
10:36 Using AI to help us plot our data as pie chart
11:42 Adding on a box and whisker plot
12:45 Publishing our analysis in an interactive report
13:54 Building semantic search using vector embedding and cosine similarity

Видео How to build a sentiment analysis dashboard using MotherDuck & Fabi.ai канала Fabi.ai: AI data analysis platform