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word2vec--sentiment analysis--II

Sentiment analysis using Word2Vec learner
Last amended: 04th April, 2021Objective: Uses Word2Vec Learner to transformwords-to-vectors for classifying IMDB dataset.Workflow: word2vec--sentiment analysis Out of Memory:To increase java heap space, openknime.ini file and change existing-Xmx2048m to -Xmx4g or higher. Full text: column0category: classDocument textNOT visibleStratified Sampling:'Document class' 1. Tree Options:Split criterion: Gini Index2. Ensemble Config:Data Sampling (Fraction of data): 0.8No of models: 300Default configNode 24Check box:Calculate mean vectorNode 97Include onlyDocument class& Split Value XNode 100Document: Preprocessed Documentjoin on RowIDsNode 312read, concatenate& shuffle dataSelectasper RAMNode 317Strings To Document Document Viewer Partitioning Tree EnsembleLearner Tree EnsemblePredictor Scorer Word Vector Apply Split CollectionColumn Column Filter VocabularyExtractor Category To Class Joiner (Labs) preProcessDocument ReadData Row Sampling Word2Vec Learner Last amended: 04th April, 2021Objective: Uses Word2Vec Learner to transformwords-to-vectors for classifying IMDB dataset.Workflow: word2vec--sentiment analysis Out of Memory:To increase java heap space, openknime.ini file and change existing-Xmx2048m to -Xmx4g or higher. Full text: column0category: classDocument textNOT visibleStratified Sampling:'Document class' 1. Tree Options:Split criterion: Gini Index2. Ensemble Config:Data Sampling (Fraction of data): 0.8No of models: 300Default configNode 24Check box:Calculate mean vectorNode 97Include onlyDocument class& Split Value XNode 100Document: Preprocessed Documentjoin on RowIDsNode 312read, concatenate& shuffle dataSelectasper RAMNode 317Strings To Document Document Viewer Partitioning Tree EnsembleLearner Tree EnsemblePredictor Scorer Word Vector Apply Split CollectionColumn Column Filter VocabularyExtractor Category To Class Joiner (Labs) preProcessDocument ReadData Row Sampling Word2Vec Learner

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