Analyze the sentiment of feedback and send a message on Mattermost
5 nodes · typeform, googleCloudNaturalLanguage, mattermost
- Engine
- n8n
- Nodes
- 5
- Trigger
- scheduled/triggered
- Source file
- 0132_Mattermost_Googlecloudnaturallanguage_Send_Triggered.json
Workflow flow
Typeform Trigger
Typeform
Google Cloud Natural Language
GoogleCloudNaturalLanguage
IF
IF
Mattermost
Mattermost
NoOp
NoOp
5 steps · flows top to bottom, branches left to right
Browse by integration
Browse all integrations →Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
Analyze the sentiment of feedback and send a message on Mattermost (5-node n8n automation, typeform, googleCloudNaturalLanguage, mattermost) is free on OpenRuna — view the graph and export the JSON to import into n8n.
What this workflow does
This n8n workflow, "Analyze the sentiment of feedback and send a message on Mattermost", wires together typeform, googleCloudNaturalLanguage, mattermost in 5 nodes. 5 nodes · typeform, googleCloudNaturalLanguage, mattermost It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Import "Analyze the sentiment of feedback and send a message on Mattermost" into n8n, reconnect credentials for typeform, googleCloudNaturalLanguage, mattermost, and run the same automation in your own workspace.
- Use it as a starting template when wiring typeform, googleCloudNaturalLanguage, mattermost — adjust node parameters to your accounts and record IDs.
- Study how data moves from typeform to googleCloudNaturalLanguage before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the typeform stack.
Example output
Imported into n8n, "Analyze the sentiment of feedback and send a message on Mattermost" exposes 5 configured nodes. Trigger type: scheduled/triggered. Integrations: typeform, googleCloudNaturalLanguage, mattermost. Open each node after import to map credentials to your own typeform and googleCloudNaturalLanguage accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Ask Claude to turn the "Analyze the sentiment of feedback and send a message on Mattermost" JSON into a plain-English runbook, node by node. It can flag where typeform rate limits or missing retries might bite before you go live.
ChatGPT
Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for typeform, googleCloudNaturalLanguage, mattermost. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "Analyze the sentiment of feedback and send a message on Mattermost" — extract typeform IDs and secrets into environment variables without changing the 5-node structure.
Frequently asked questions
- How do I import "Analyze the sentiment of feedback and send a message on Mattermost" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "Analyze the sentiment of feedback and send a message on Mattermost" use?
- It uses: typeform, googleCloudNaturalLanguage, mattermost. The flow diagram above shows how each service connects across the 5 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own typeform and googleCloudNaturalLanguage credentials in n8n after import.
- What trigger type does "Analyze the sentiment of feedback and send a message on Mattermost" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "Analyze the sentiment of feedback and send a message on Mattermost" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for typeform, googleCloudNaturalLanguage, mattermost.
Related resources
- Agent
PraisonAI
24/7 AI employee team for automating complex challenges. Low-code multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers
- Agent
Prompt Optimizer
AI prompt optimization tool with multi-round iterative improvements, dual-mode optimization for system and user prompts, and multi-model support. Available as web app, desktop app, Chrome extension, and Docker deployment. AGPL-3.0 licensed
- Agent
Archon
Workflow engine for deterministic AI coding agents. Define development processes as YAML workflows (planning → implementation → validation → review → PR) with isolated Git worktrees for parallel execution. MIT licensed
- Agent
A2A Protocol
Agent2Agent (A2A) open protocol enabling communication and interoperability between opaque agentic applications. Donated to Linux Foundation by Google with 50+ technology partners. Apache 2.0 licensed
- Agent
CAMEL
First and best multi-agent framework for building scalable agent systems. Apache 2.0 licensed with extensive tooling for agent communication and task automation
- Agent
Neuron AI
PHP Agentic Framework for building production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. MIT licensed
- Agent
smolagents
Lightweight agent framework centered on tool use and code-executing workflows
- Agent
Supermemory
Memory API and app for AI agents that provides fast, scalable, context-aware storage and retrieval across projects. MIT licensed
