Match meetup addresses before posting
Catch a changed location before it becomes a stream of clarification messages.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Address Similarity
Compares two addresses and returns a similarity score. addresses can be provided as single strings or as structured objects. the tool is optimized for english, simplified chinese, and traditional chinese addresses.
Why this helps
Location updates passed through several people can leave an old address in the post copy.
- Highlights possible location conflicts
- Reduces attendee confusion
Setup
Build it in a few focused steps.
- 1Connect LinkedIn and Rosette text analytics to Notis once.
- 2Create an automation using an incoming webhook trigger.
- 3Write a plain-language prompt to compare each submitted meetup address with the address in the LinkedIn promotion.
- 4Choose a channel for reports and test one location update.
Questions about this workflow
What starts this workflow?
Your event tool or backend sends Notis an HTTP request when an address update arrives.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link LinkedIn to Rosette text analytics. A trigger fires from one place; an action lands in another.
LinkedIn triggers
Rosette text analytics actions
Address Similarity
Compares two addresses and returns a similarity score. addresses can be provided as single strings or as structured objects. the tool is optimized for english, simplified chinese, and traditional chinese addresses.
Identify Language
This tool identifies the natural language of a given text. it takes a string of text as input and returns the detected language along with a confidence score. optional parameters include specifying a genre (e.g., "social-media"), providing a list of language codes to constrain the identification, and indicating whether to include user-defined languages.
Compare Name Similarity
The 'name similarity' tool compares two entity names (person, location, or organization) and returns a similarity score between 0 and 1 to indicate if the names are similar. it is useful for tasks such as record linkage, identity resolution, and data deduplication.
Connect any two apps with Notis in the middle.
Not just LinkedIn and Rosette text analytics. Any combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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