How To Build A Sentiment Analysis Model With No Code Peltarion X Bubble

In this video, I'll walk you through the step-by-step process to building your own sentiment analysis without writing a single line of code.

Using both Bubble and Peltarion, I'll explain how you can create an AI model that can parse text from online shopping reviews, then provide a sentiment rating based on the user feedback.

After using Peltarion to build the AI model, I'll explain how to easily connect this to your own Bubble app.

Create a free Peltarion account here:

Download the customer review training dataset here:

Access the working Notion doc here:



About me:

In 2020, I worked directly with the Bubble team to write their 'How-to build' blog series. Each installment shared written instructions on how to recreate popular products using their no-code tool. Since the beginning of 2021, I've focussed on creating my own video series to teach no-code makers how to get the most out of Bubble's platform.

Note: This video series has no direct affiliation with Bubble themselves. This is something I've created on my own.

Disclaimer: This video was created as a paid partnership with Peltarion.



Timeline:

00:00 - Intro to Peltarion
01:13 - Uploading the dataset
09:55 - Training the model
18:34 - Reviewing the model performance
25:09 - Integrating the model with Bubble
43:03 - Testing the sentiment analysis model
45:38 - Create workflows based on sentiment score
52:35 - Additional insights
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