@intres/azure-text-analytics
Advanced tools
azure-text-analytics is a collection of nodes for text analytics from Microsoft Azure Text Analytics Services.
The Internet of Things Research (INTRES) Group at the University of Washington Tacoma (UWT) developed and maintains this package to promote Internet of Things (IoT) research and teaching. This package seeks to accelerate the adoption of IoT concepts by developing a simple mechanism to increase the productivity of researchers, software engineers, developers, and data scientists.
These features are currently supported:
Most of the parameters of these nodes are supported. For more information about all the settings and output format, please refer to the individual node.
npm install @intres/azure-text-analytics
The example flow is as follows:
The function node contains the payload:
The configuration of sentiment node is pretty simple, all parameters can be chosen by dropdown menu. The output format is exactly from the official API document and is passed to the next node for further usage.
INTRES and UWT are not responsible for the usage or utilization of these packages. They are meant to promote IoT research and education. IoT service providers may require additional verification steps to utilize the features outlined in these packages. We are not in any way responsible for the misuse of these packages. For more details on the service agreement and terms, please click here.
FAQs
Node-red nodes for Microsoft Azure Text Analytics
The npm package @intres/azure-text-analytics receives a total of 2 weekly downloads. As such, @intres/azure-text-analytics popularity was classified as not popular.
We found that @intres/azure-text-analytics demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.
Security News
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
Security News
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.
