Content Classification
kCloudHub LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Content Classification is an AI-powered natural language processing (NLP) solution that automatically analyzes and categorizes text into predefined classes using machine learning and transformer-based models. It helps organizations organize large volumes of textual data, automate workflows, improve search accuracy, and enable intelligent content analysis.
Key Features of Content Classification:
Show the rest of the publisher’s description (12 more lines)
- AI-powered text classification using transformer-based NLP models.
- Automatic categorization of documents, emails, customer feedback, and other textual content.
- Supports sentiment analysis, topic classification, spam detection, and intent recognition.
- CPU-compatible deployment for local and on-premises environments.
- Customizable with domain-specific datasets for enterprise and business applications.
Content Classification Usage:
$ sudo su
$ apt update
$ source /opt/Content-Classification/venv/bin/activate
$ python test.py
Disclaimer:
Content Classification is a solution built using open-source machine learning and natural language processing libraries. The included implementation utilizes the Hugging Face Transformers framework and other open-source components, each maintained by their respective contributors and communities.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.