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.