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01_​Guided_​Labeling_​for_​Document_​Classification

Guided Labeling for Document Classification
Guided Labeling for Document ClassificationThis workflow defines a fully automated web based application that will label your data using active learning and weak supervision.This workflow is made to be deployed on KNIME WebPortal via KNIME Server. To test the Guided Analytics application on KNIME Analytics Platform:- Right click the Label component and "Execute and Open Views"- Follow the in-view instructions- After saving your interactions, right click Active Learning Loop End and "Step Loop Execution"- Open the Label Component view again to see the second iteration of the Human-in-the-Loop The Process Step by Step1. Upload your documents and enter / upload the labels you want to use.2. Define the rules to label your data with Weak Supervision.2. Start labeling your data in Active Learning loop and update the rules if necessary.3. Monitor overall potential as you provide more labels4. When the overall potentials falls below a desired amount, exit the loop5. Download the model and the labels, and visualize the results Show user currentpredictions and ask formore labels. Allow user to download themodel trained on all thelabeld data. ExplorationPotentialreduce density top : new rulesbottom : new labelsExploitationport 0 : labeledport 1: not labeledport 0 : termsport 1: docstop: new iteration labelsbottom : labeled + unlabeledtop 50 docuentsby PotentialDensity Scorer Exploration/ExploitationScore Combiner Active LearningLoop Start Active LearningLoop End Density Updater Label Entropy UncertaintyScorer Deploy Initialize / Train Classifierwith Available Labels Upload Text Preprocessing Pre-processing Post-processing Top k Selector Graph DensityInitializer Rules Update Rules Guided Labeling for Document ClassificationThis workflow defines a fully automated web based application that will label your data using active learning and weak supervision.This workflow is made to be deployed on KNIME WebPortal via KNIME Server. To test the Guided Analytics application on KNIME Analytics Platform:- Right click the Label component and "Execute and Open Views"- Follow the in-view instructions- After saving your interactions, right click Active Learning Loop End and "Step Loop Execution"- Open the Label Component view again to see the second iteration of the Human-in-the-Loop The Process Step by Step1. Upload your documents and enter / upload the labels you want to use.2. Define the rules to label your data with Weak Supervision.2. Start labeling your data in Active Learning loop and update the rules if necessary.3. Monitor overall potential as you provide more labels4. When the overall potentials falls below a desired amount, exit the loop5. Download the model and the labels, and visualize the results Show user currentpredictions and ask formore labels. Allow user to download themodel trained on all thelabeld data. ExplorationPotentialreduce densitytop : new rulesbottom : new labelsExploitationport 0 : labeledport 1: not labeledport 0 : termsport 1: docstop: new iteration labelsbottom : labeled + unlabeledtop 50 docuentsby PotentialDensity Scorer Exploration/ExploitationScore Combiner Active LearningLoop Start Active LearningLoop End Density Updater Label Entropy UncertaintyScorer Deploy Initialize / Train Classifierwith Available Labels Upload Text Preprocessing Pre-processing Post-processing Top k Selector Graph DensityInitializer Rules Update Rules

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