Automate Sentiment Analysis for Call Center Transcripts Using OpenAI and Google Sheets - n8n Workflow | Neura Market
Automate Sentiment Analysis for Call Center Transcripts Using OpenAI and Google Sheets
This workflow streamlines sentiment analysis for call center transcripts by leveraging OpenAI's language model and Google Sheets. It provides structured feedback on various sentiment dimensions, enabling managers to enhance performance and training.
The workflow automates the process of analyzing call center transcripts by extracting key sentiment metrics such as greeting sentiment, agent friendliness, problem-solving effectiveness, and overall customer sentiment. It uses OpenAI's language model to perform sentiment classification and updates a Google Sheet with the results, including an overall call rating. This automation allows call center managers to focus on improving customer interactions by providing actionable insights.
Platform
n8n
Category
AI
Price
Free
Creator
Zara Khan
gid
set
stickyNote
googleSheets
splitInBatches
agent
scheduleTrigger
lmChatOpenAi
outputParserStructured
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.