Most-used Sentimentanalysis workflows
- Generate Complete Stories with Gpt-4o and Save Them in Google Drive (57 nodes)
- Handle Whatsapp Customer Chats with Evolution Api, Claude, Notion, and Sheets — n8n Sentimentanalysis workflow (44 nodes)
- Score and Route Real Estate Leads with Gpt‑4.1, Mls/crm Data, and Slack Alerts (41 nodes)
- Multi-channel Customer Sentiment Tracker with Real-time Analytics and Alerting — n8n Sentimentanalysis workflow (40 nodes)
- Automated Email Classification & Response System with Groq AI and Pinecone (38 nodes)
- Monitor and Track Brand Sentiment on Facebook Groups with Bright Data — n8n Sentimentanalysis workflow (37 nodes)
- Automate Customer Support Issue Resolution Using AI Text Classifier (36 nodes)
- Jiratool Schedule — n8n Sentimentanalysis workflow (36 nodes)
- Automate Customer Support Issue Resolution Using AI Text Classifier (lm Chat Open Ai) (36 nodes)
- Route and Qualify Email Leads with Gmail, Gemini, Slack, Sheets and Salesforce — n8n Sentimentanalysis workflow (35 nodes)
AI Story Generator with GPT-4o and Google Drive Integration
This workflow turns your WhatsApp Business number into a 24/7 AI-powered customer assistant — without any third-party chatbot platform. It receives incoming WhatsApp messages via Evolution API, unders
This workflow automates end-to-end e-commerce order processing from intake through fulfillment by orchestrating multiple AI-powered validation stages and external system integrations. Designed for e-c
Scheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and urgency indicator
📝 Description This workflow helps automatically classify incoming emails using a combination of conditional logic and minimal AI-based classification. The system checks email content, performs sentime
This workflow keeps track of your brand mentions across different Facebook groups and provides an analysis of the posts as positive, negative or neutral and updates this to Googe sheets for further an
Automate Customer Support Issue Resolution Using Ai Text Classifier. Uses lmChatOpenAi, scheduleTrigger, jira, outputParserStructured. Scheduled trigger; 36 nodes.
Jiratool Schedule. Uses lmChatOpenAi, scheduleTrigger, jira, outputParserStructured. Scheduled trigger; 36 nodes.
This n8n template is designed to assist and improve customer support team member capacity by automating the resolution of long-lived and forgotten JIRA issues. Schedule Trigger runs daily to check for
Who is this for? Event sales teams & conference organizers processing 100+ sponsor/partner emails weekly who need instant lead qualification, Salesforce automation, & pipeline analytics. _
Email Sentiment Router for Event Sales Leads
This n8n workflow automates email management by classifying incoming messages, drafting replies, and sending alerts—all powered by AI.
This n8n workflow processes user feedback automatically, tags it with sentiment, and links it to relevant insights in Notion. It uses GPT-4 to analyze each feedback entry, determine whether it corresp
Automatically find, analyze, and engage with relevant LinkedIn posts using AI-powered sentiment analysis and comment generation
This workflow automates sentiment analysis of Reddit posts related to Apple's WWDC25 event. It extracts data, categorizes posts, analyzes sentiment of comments, and updates a Google Sheet with the res
Built for Customer Success and Account Management teams focused on proactive retention. This workflow helps you automatically identify at-risk customers – before they churn – by combining CRM, usage,
This workflow automates the entire process of collecting, analyzing, and reporting customer reviews from Feedaty (similar to Trustpilot) using ScrapeGraphAI, transforming raw user feedback into a stru
This workflow automates the collection, analysis, and reporting of Trustpilot reviews for a specific company using ScrapeGraphAI, transforming unstructured customer feedback into structured insights a
This workflow automates the process of collecting Google Business Profile reviews 🏪, analyzing customer sentiment with Google Gemini 🤖✨, and sending structured reports to Slack 💬. 📥 Fetches Google Bus
Dynamically switch between LLMs Template. Uses chatTrigger, noOp, lmChatOpenAi, sentimentAnalysis. Chat trigger; 22 nodes.
Analyze Reddit Posts with AI to Identify Business Opportunities. Uses manualTrigger, lmChatOpenAi, sentimentAnalysis, gmail. Event-driven trigger; 22 nodes.
Use case Manually monitoring Reddit for viable business ideas is time-consuming and inconsistent. This workflow automatically analyzes trending Reddit discussions using AI to surface high-potential op
This example workflow demonstrates a way to connect multiple LLMs to a single AI Agent/LangChain Node and programmatically use one – or in this case loop through them.
This workflow automates the end-to-end analysis of WooCommerce product reviews, transforming raw customer feedback into actionable product and customer-care insights, and delivering them in a structur
Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI. Uses splitOut, informationExtractor, manualTrigger, limit. Event-driven trigger; 20 nodes.
Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI. Uses splitOut, informationExtractor, manualTrigger, limit. Event-driven trigger; 20 nodes.
This workflow automates the process of scraping Trustpilot reviews, extracting key details, analyzing sentiment, and saving the results to Google Sheets. It uses OpenAI for sentiment analysis and HTML
This n8n template demonstrates how to deploy an AI workflow in production while simultaneously running a robust, data-driven Evaluation Framework to ensure quality and optimize costs.
This workflow automates the process of collecting, analyzing, and storing Facebook post comments with AI-powered sentiment analysis about YOUR Facebook Page. Social media sentiment monitoring Brand re
aiNodes. Uses openAi, gmailTool, chainLlm, lmChatOpenAi. Event-driven trigger; 19 nodes.
Teams that collect product feedback with Jotform and want automated triage: instant alerts for urgent issues, knowledge-based replies to questions, and a clean backlog for suggestions.
This workflow automatically monitors a Facebook post, extracts comments, enforces a "past winner" blocklist, analyzes sentiment using AI to find positive entries, randomly selects a winner, stores the
Use cases are many: Whether you're a YouTube creator exploring feedback, a social media manager fine-tuning engagement strategy, a brand team monitoring campaign sentiment, or a marketing agency condu
YouTube Comment Sentiment Analyzer. Uses splitOut, lmChatOpenAi, noOp, googleSheets. Event-driven trigger; 16 nodes.
Influencers, marketers, and data teams who need instant insights into audience sentiment—without manual exports or scattered tools. Manual exports from YouTube Studio Time-consuming sentiment tagging
This template is designed for e-commerce owners, marketplace sellers, product teams, and CX/reputation managers who need an automated way to monitor product reviews. It’s ideal for anyone tracking Ama
This workflow is ideal for marketing teams, growth analysts, and business owners who need regular Google Analytics insights without manually digging through data. It’s also perfect for organizations t
This workflow automatically collects all comments from a specified YouTube video and analyzes the sentiment of each comment using an AI model (e.g., GPT, Claude or Gemini). The sentiment (Positive, Ne
Google Sheets → OpenAI GPT-4o → QuickChart → Gmail Fetches customer reviews from a Google Sheet. Classifies each review as Positive, Neutral or Negative with GPT-4o-mini. Writes the sentiment back to
Automatically classify incoming leads based on the sentiment of their message using Google Gemini, store them in Supabase by category, and send tailored WhatsApp messages via the official WhatsApp Clo
Customer Feedback Sentiment Analysis. Uses formTrigger, sentimentAnalysis, lmChatOpenAi, googleSheets. Event-driven trigger; 10 nodes.
Automated customer feedback analyzer: Trigger: Google Sheets triggers on new product review rows. Sentiment Analysis: Review text sent to OpenAI. Writeback: Resulting sentiment (Positive, Neutral, Neg
42 of 42 workflows in this view · Browse all →
FAQ
How many n8n Sentimentanalysis workflows are in the catalog?
42 n8n workflows in AutomationFlows currently use the Sentimentanalysis integration — triggers, actions, or both.
How do I connect Sentimentanalysis in n8n?
After importing the workflow JSON, n8n will prompt for Sentimentanalysis credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Sentimentanalysis workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.