This process accepts Product Review Data in csv or json format and returns actionable data insights, along with a csv version of the data that has been enhanced with a sentiment analysis column.
The product review data should have a product name or product id column, timestamp, and rating data. If you would like the sentiment analysis column then you will also need to include the actual text of the product review.
This process requires the computer running the bot to have python version 3.11 or higher installed and to have the pandas package installed for python.
Insights given are actionable for marketing, sales, and other departments seeking to understand more about the product and its reviews.
The process currently provides insights for the top three most reviewed items in the dataset, but the video explanation shows how this can easily be expanded to returning additional sets of insights for a given product dataset.
The product insights returned only exist on the final form, until the finish button is selected. Please be sure to copy and paste any insights you wish to another format for saving.
This process also comes with a set of test data that can be used for understanding how the bot works. You can also use the test dataset as an example of what a cleaned dataset would look like for this process.