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Sentiment_​Analysis_​Training_​With_​Integrated_​Deployment

Sentiment Analysis with Integrated Deployment - Training

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Define Network Evaluation Reading and Preprocessing Training and Predicting Shape: max number of words per documentsInput: # word in dictionary + 1128 unitsActivation function:sigmoidTrain the networkProbability to predictionPredict test dataSave trained modelWritedeployment workflowOnly review &predictionKeras Input Layer Keras EmbeddingLayer Keras LSTM Layer Keras Dense Layer Keras NetworkLearner Rule Engine Keras NetworkExecutor Scorer Keras NetworkWriter CaptureWorkflow Start CaptureWorkflow End Workflow Writer Column Filter Read andpartition data Preprocessingtraining set Preprocessingtest set Define Network Evaluation Reading and Preprocessing Training and Predicting Shape: max number of words per documentsInput: # word in dictionary + 1128 unitsActivation function:sigmoidTrain the networkProbability to predictionPredict test dataSave trained modelWritedeployment workflowOnly review &predictionKeras Input Layer Keras EmbeddingLayer Keras LSTM Layer Keras Dense Layer Keras NetworkLearner Rule Engine Keras NetworkExecutor Scorer Keras NetworkWriter CaptureWorkflow Start CaptureWorkflow End Workflow Writer Column Filter Read andpartition data Preprocessingtraining set Preprocessingtest set

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Created by: kathrinmelcher
Created at: 2020-10-22
On NodePit since: 2020-12-17
Last update: 2024-04-27
Created with KNIME version: v4.2.3
Tags: sentiment analysisintegrated deploymentRNNLSTM

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