Automated Hotel Review Sentiment Analysis with n8n and Langchain
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This n8n workflow automatically analyzes the sentiment of hotel reviews using Langchain. It leverages webhook triggers, text splitting, embeddings, and a vector store to process and understand review data, and logs the results to Google Sheets.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of analyzing the sentiment of hotel reviews. It starts by receiving incoming hotel review data via a webhook. The review text is then split into manageable chunks using the Splitter node. These chunks are converted into numerical representations (embeddings) using Hugging Face's EmbeddingsHuggingFace node. The embeddings are then inserted into a Pinecone vector store for efficient retrieval using the Insert node. For analysis, reviews can be queried from the vector store using the Query node. Langchain's Tool and Agent nodes are employed to orchestrate the sentiment analysis process, potentially using a chat model (lmChatHf) and memory (memoryBufferWindow) for more sophisticated interactions. Finally, the results, including the sentiment analysis, are logged to a Google Sheet via the Sheet node.
Key Features
- Real-time hotel review processing via Webhook.
- Advanced text processing with Langchain's text splitter.
- Vectorization of text for efficient similarity search.
- Integration with Pinecone for scalable vector storage.
- Langchain Agent for sophisticated analysis and decision-making.
- Logging of analysis results to Google Sheets for easy tracking.
How To Use
- Configure the
Webhooknode to receive incoming hotel review data. - Set up the
Splitternode to define how review text should be chunked. - Ensure your Hugging Face and Pinecone credentials are correctly configured in the respective nodes (
Embeddings,Insert,Query). - Define your
indexNamein theInsertandQuerynodes to match your Pinecone index. - Configure the
ChatandAgentnodes to specify the language model and prompts for sentiment analysis. - Connect the
Sheetnode to your Google account and specify thedocumentIdandsheetNamefor logging. - Test the workflow by sending sample hotel review data to the webhook URL.
Apps Used
Workflow JSON
{
"id": "35578347-3dca-4cd0-877b-d1d99d0bf834",
"name": "Automated Hotel Review Sentiment Analysis with n8n and Langchain",
"nodes": 0,
"category": "Data Processing & AI",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 35578347-3dca...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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