Analyze Customer Reviews with Gemini Using Python Notebooks Reviews
6933 reviews
Narayana M. · Reviewed about 1 year ago
good
sutrisno m. · Reviewed about 1 year ago
Indusara Darshana A. · Reviewed about 1 year ago
Utkarsh S. · Reviewed about 1 year ago
Nandi S. · Reviewed about 1 year ago
Prabhat G. · Reviewed about 1 year ago
Prabhat G. · Reviewed about 1 year ago
Prabhat G. · Reviewed about 1 year ago
Senthil K. · Reviewed about 1 year ago
Satyam K. · Reviewed about 1 year ago
Vinayak G. · Reviewed about 1 year ago
Omer B. · Reviewed about 1 year ago
lohau l. · Reviewed about 1 year ago
Abhijit G. · Reviewed about 1 year ago
"Create a Python notebook in BigQuery using Colab Enterprise. Create a Cloud Resource connection in BigQuery. Create the dataset and tables in BigQuery. Create the Gemini remote models in BigQuery. Prompt Gemini to analyze keywords and setiment (positive, or negative) for text based customer reviews. Generate a report with a count of positive, and negative reviews. Respond to customer reviews at scale. Create an application for customer service representatives to respond to audio based customer reviews."
Rehma I. · Reviewed about 1 year ago
CLOUD S. · Reviewed about 1 year ago
sathvika r. · Reviewed about 1 year ago
Siddharth G. · Reviewed about 1 year ago
just the connect alone already took more than 10 minutes to connect and the instructions didn't state which connect button as there's 2 connect buttons with top and bottom.
Wei Loon T. · Reviewed about 1 year ago
Pratham C. · Reviewed about 1 year ago
ANUJ R. · Reviewed about 1 year ago
Claudio C. · Reviewed about 1 year ago
Piyush J. · Reviewed about 1 year ago
Bibek C. · Reviewed about 1 year ago
Riya Y. · Reviewed about 1 year ago
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.