Text Analytics Connector

The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, language detection and entity recognition. This connector exposes these functions as operations in Microsoft Power Automate and Power Apps.

Pre-requisites

You will need the following to proceed:

• A Microsoft Power Apps or Microsoft Power Automate plan with custom connector feature
• The Power platform CLI tools

Deploying the connector

Run the following command and follow the prompts:

paconn create --api-def apiDefinition.swagger.json --api-prop apiProperties.json 

Supported Operations

The connector supports the following operations:

• Detect Sentiment (V2): Returns a numeric score between 0 and 1 for each document - scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment
• Key Phrases (V2): Returns a list of strings denoting the key talking points in the input text for each document
• Detect Language (V2): Returns the detected language and a numeric score between 0 and 1 for each document - scores close to 1 indicate 100% certainty that the identified language is true
• Detect Entities (V2): eturns a list of known entities and general named entities ("Person", "Location", "Organization" etc) in a given document