News relevance - Training – KNIME Community Hub

Workflow

News relevance - Training

Draft Latest edits on

News relevance - Training This workflow preprocesses labeled news articles, searches keywords and computes embeddings using the nodes of the spaCy extension. Next, it trains and applies two machine learning algorithms to classify news relevance, evaluates the performance and stores the best model.

Loading deploymentsLoading ad hoc jobs

Legal

By using or downloading the workflow, you agree to our terms and conditions.

News relevance - Training

KNIME Base nodes

KNIME Expressions

KNIME JavaScript Views

KNIME JavaScript Views (Labs)

KNIME Javasnippet

KNIME Machine Learning Interpretability Extension

KNIME Math Expression (JEP)

KNIME Network Mining

KNIME Quick Forms

KNIME Reporting (Labs)

KNIME Textprocessing

KNIME XGBoost Integration

Redfield NLP Nodes

Legal

News relevance - Training

Used extensions & nodes

KNIME Base nodesTrusted extension

KNIME ExpressionsTrusted extension

KNIME JavaScript ViewsTrusted extension

KNIME JavaScript Views (Labs)Trusted extension

KNIME JavasnippetTrusted extension

KNIME Machine Learning Interpretability ExtensionTrusted extension

KNIME Math Expression (JEP)Trusted extension

KNIME Network MiningTrusted extension

KNIME Quick FormsTrusted extension

KNIME Reporting (Labs)Trusted extension

KNIME TextprocessingTrusted extension

KNIME XGBoost IntegrationTrusted extension

Redfield NLP NodesTrusted extension

Legal

KNIME Base nodes

KNIME Expressions

KNIME JavaScript Views

KNIME JavaScript Views (Labs)

KNIME Javasnippet

KNIME Machine Learning Interpretability Extension

KNIME Math Expression (JEP)

KNIME Network Mining

KNIME Quick Forms

KNIME Reporting (Labs)

KNIME Textprocessing

KNIME XGBoost Integration

Redfield NLP Nodes