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03_​Sentiment_​Classification

Workflow

Sentiment Analysis (Classification) of Documents
This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform them into numerical document vectors. Finally a predictive model is trained on the vectors to predict the sentiment class of the documents.
sentiment analysisNLPNatural Language Processingtext classification
The workflow reads IMDb reviews, pre-processes the documents and trains a model to predict the sentiment of movie reviews Data Import and Preprocessing Predictive Modeling and Scoring Extract sentimentlabelColor by sentimentlabelTraining / test setApply decisiontree modelScore decisiontree modelScore decisiontree modelTransformation of strings to documentsRead IMDb reviewsfrom CSV filePreprocessing of documentsBuild predictive modelCreate bit vectorsfor documents Category To Class Color Manager Partitioning Decision TreePredictor Scorer ROC Curve (local) Document Creation File Reader Preprocessing DecisionTree Learner Document Vector The workflow reads IMDb reviews, pre-processes the documents and trains a model to predict the sentiment of movie reviews Data Import and Preprocessing Predictive Modeling and Scoring Extract sentimentlabelColor by sentimentlabelTraining / test setApply decisiontree modelScore decisiontree modelScore decisiontree modelTransformation of strings to documentsRead IMDb reviewsfrom CSV filePreprocessing of documentsBuild predictive modelCreate bit vectorsfor documentsCategory To Class Color Manager Partitioning Decision TreePredictor Scorer ROC Curve (local) Document Creation File Reader Preprocessing DecisionTree Learner Document Vector

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Resources

Nodes

03_​Sentiment_​Classification consists of the following 25 nodes(s):

Plugins

03_​Sentiment_​Classification contains nodes provided by the following 3 plugin(s):