AI-Powered Hotel Review Sentiment Analysis
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Automate real-time sentiment analysis for hotel reviews using AI. This workflow ingests customer feedback via a webhook, leverages large language models and vector search to understand sentiment and key themes, and logs insights directly to Google Sheets for actionable reporting.
About This Workflow
Unleash the power of AI to automatically process and understand your hotel's customer reviews. This n8n workflow provides a robust solution for real-time sentiment analysis. It triggers instantly upon receiving a new review via a webhook, intelligently splitting the text, generating embeddings, and storing them in Pinecone for a rich, searchable knowledge base. An AI agent, powered by a HuggingFace large language model, utilizes this knowledge base and conversational memory to perform deep sentiment analysis or extract key insights. Finally, all processed data and analysis results are meticulously logged into a Google Sheet, empowering hotels to quickly identify trends, address issues, and enhance guest experiences proactively.
Key Features
- Real-time Review Ingestion: Instantly capture hotel reviews via a configurable webhook trigger.
- Advanced Text Processing: Utilizes text splitting and HuggingFace embeddings for efficient and accurate AI analysis of review content.
- Vector Database Integration: Stores review embeddings in Pinecone, creating a powerful, searchable knowledge base for context and retrieval.
- AI-Powered Sentiment Analysis & Insights: Employs a HuggingFace Chat LLM and an n8n Langchain Agent to intelligently analyze sentiment, extract themes, or answer questions about reviews.
- Automated Reporting & Logging: Automatically logs all processed reviews and AI-generated insights into a Google Sheet for easy tracking and reporting.
How To Use
- Configure Webhook: Set up the "Webhook" node to receive POST requests containing your hotel review data (e.g., from a review platform or internal system).
- Connect HuggingFace: Provide your HuggingFace API credentials to the "Embeddings" and "Chat" nodes for text embedding and LLM access.
- Set up Pinecone: Configure your Pinecone API credentials and ensure the
hotel_review_sentimentindex exists or is created for the "Insert" and "Query" nodes. - Connect Google Sheets: Link your Google Sheets account to the "Sheet" node, specifying the
SHEET_IDandLogsheet name where results will be appended. - Define Agent Logic: Customize the "Agent" node's prompt or logic as needed to specify the exact sentiment analysis or information extraction tasks you want the AI to perform on the reviews.
Apps Used
Workflow JSON
{
"id": "ba36b07a-ff67-4dd2-8352-c99268c07a25",
"name": "AI-Powered Hotel Review Sentiment Analysis",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: ba36b07a-ff67...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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