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08_​Sentiment_​Analysis_​with_​Deep_​Learning_​KNIME_​nodes_​Test

Sentiment Analysis
Define Network Preprocessing Training and Predicting Evaluation Sentiment Analysis on IMDB movie reviews This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used network learns a 128 dimensional word embedding followed by an LSTM.This example is adapted from the following Keras example script:https://github.com/keras-team/keras/blob/master/examples/imdb_lstm.pyIn order to run the example, please make sure you have the following KNIME extensions installed:* KNIME Deep Learning - Keras Integration (Labs)You also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation recommendations and further information. Node 2predict testdatatrain for 3 epochswith AdamApply DictionaryNode 86ReadDictionary.tableimdb.tableShape: max number of words per documentsInput: # word in dictionary+2128 unitsActivation function:sigmoid Strings To Document DL Network Executor(deprecated) Keras NetworkLearner Dictionary Replacer Extract Prediction Scorer (JavaScript) Partitioning Table Reader Zero Padding Truncation Reduce dictionary Define document anddictionary size Table Reader Keras Input Layer Keras EmbeddingLayer Keras LSTM Layer Keras Dense Layer Define Network Preprocessing Training and Predicting Evaluation Sentiment Analysis on IMDB movie reviews This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used network learns a 128 dimensional word embedding followed by an LSTM.This example is adapted from the following Keras example script:https://github.com/keras-team/keras/blob/master/examples/imdb_lstm.pyIn order to run the example, please make sure you have the following KNIME extensions installed:* KNIME Deep Learning - Keras Integration (Labs)You also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation recommendations and further information. Node 2predict testdatatrain for 3 epochswith AdamApply DictionaryNode 86ReadDictionary.tableimdb.tableShape: max number of words per documentsInput: # word in dictionary+2128 unitsActivation function:sigmoid Strings To Document DL Network Executor(deprecated) Keras NetworkLearner Dictionary Replacer Extract Prediction Scorer (JavaScript) Partitioning Table Reader Zero Padding Truncation Reduce dictionary Define document anddictionary size Table Reader Keras Input Layer Keras EmbeddingLayer Keras LSTM Layer Keras Dense Layer

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