node-red-contrib-viseo-ms-language
Advanced tools
VISEO Bot Maker - Microsoft Cognitive Services Language
Microsoft Cognitive Services language nodes: LUIS, Text analytics and QnA maker.
This node is part of project node-red-contrib-viseo powered by VISEO Technologies. Please find the nodes documentations in the Node-RED info tab.
Here is a French Article on Bot Ecosystem and more.
npm install node-red-contrib-viseo-ms-language
A documentation is available on this Wiki.
For further help, or general discussion, please use the github issue tracker and in order to be labeled with question tag please specify :
This project adheres to the Contributor Covenant 1.4. By participating, you are expected to uphold this code. Please report unacceptable behavior to any of the project's core team.
This project is a creation of VISEO Technology.
Copyright 2016-2019 VISEO under the Apache 2.0 license. Copyright 2012-2019 SARAH under the Apache 2.0 license.
FAQs
VISEO Bot Maker - Microsoft Cognitive Services Language
The npm package node-red-contrib-viseo-ms-language receives a total of 8 weekly downloads. As such, node-red-contrib-viseo-ms-language popularity was classified as not popular.
We found that node-red-contrib-viseo-ms-language demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 8 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.
Research
/Security News
A malicious NuGet package impersonating Sicoob exfiltrated client IDs, PFX passwords, and banking certificates through Sentry telemetry.
Security News
Feross Aboukhadijeh joins TBPN to discuss Socket's $60M Series C, 500%+ ARR growth, AI's impact on open source, and the rise in supply chain attacks.
Security News
OSV withdrew 157 OSV malware reports after automated false positives incorrectly flagged trusted npm and PyPI packages, sending bad records into tools that rely on OSV data.