Summarise text
Summarise text as part of your automated business workflows. ThinkAutomation will monitor any connected system (such as a mailbox, a database, a web form, etc), and parse new messages every 60 seconds. Just one of the automations it can run during the parsing process is key phrase extraction / summarisation.
Summarise text – overview
- This action uses the Microsoft Azure text analytics API to extract key phrases from text
- To access it, use the ThinkAutomation custom action library
- You’ll also need an Azure account and a cognitive services text analytics endpoint
- With this action, ThinkAutomation will parse new inbound messages from connected sources and pass to Azure
- Then, it can run any number of rule-based actions against the results, based on your workflow configuration
Summarise text – use cases
- Summarise the main point of a survey submission before uploading to the user’s CRM record
- Extract key points from feedback emails and push the data to a third-party analytics tool
- Normalise and summarise responses entered into free text fields before uploading to a database
- Summarise the point of a help ticket and use for automatic routing / categorisation
- Plus countless more, depending on your desired use case
- Backup emails
- Email attachment storage
- Email parsing
- Email sentiment analysis
- Email to cloud
- Email to CRM
- Email to CSV
- Email to database
- Email to spreadsheet
- Email translation
- Move email attachment to folder automatically
- Outlook export all emails
- Parse email attachment
- Translate attachment
Database
- Data ETL
- Database automation
- Database counters
- Database monitoring
- Mongo update
- SQL to Excel
- Translate database
- Update a database
Telephony
CRM
- CRM data entry
- CRM sentiment analysis
- Dynamics automation
- Salesforce automation
- SugarCRM automation
- Zoho automation
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- FTP upload
- GeoIP lookup
- MongoDB lookup
- OAuth sign-in
- Process files
- Run a program
- Send Teams message
- Sentiment score
- Set variable
- Speak text
- SQL command to update data in a database
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- String operation
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- Train sentiment analysis model
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