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13_​DocumentVector_​Hashing

Workflow

Streaming Sentiment Analysis of Documents using Document Vector Hashing
NLPNatural Language Processing
Streaming Sentiment Analysis of Documents using Document Vector Hashing This workflows shows an alternative way to execute the Sentiment Analysis example with streaming enabled usingthe Document Vector Hashing node. The node creates document vectors with a fixed number of dimensions usingvarious hashing methods. It reads textual data from a csv file and converts the strings into documents, which are then preprocessed, i.e. filteredand stemmed and transformed into numerical/binary document vectors in a streaming fashion. All the preprocessingsteps take place in the Streaming text preprocessing meta node. After the document vectors have been created thesentiment class is extracted and a predictive model is built and scored. Extract sentimentlabelColor by sentimentlabelTraining / test setApply decisiontree modelScore decisiontree modelScore decisiontree modelRead IMDb reviewsfrom CSV fileBuild predictive modelPreprocess documents andconvert todocument vectors Category To Class Color Manager Partitioning Decision TreePredictor Scorer ROC Curve File Reader DecisionTree Learner Streaming textpreprocessing Streaming Sentiment Analysis of Documents using Document Vector Hashing This workflows shows an alternative way to execute the Sentiment Analysis example with streaming enabled usingthe Document Vector Hashing node. The node creates document vectors with a fixed number of dimensions usingvarious hashing methods. It reads textual data from a csv file and converts the strings into documents, which are then preprocessed, i.e. filteredand stemmed and transformed into numerical/binary document vectors in a streaming fashion. All the preprocessingsteps take place in the Streaming text preprocessing meta node. After the document vectors have been created thesentiment class is extracted and a predictive model is built and scored. Extract sentimentlabelColor by sentimentlabelTraining / test setApply decisiontree modelScore decisiontree modelScore decisiontree modelRead IMDb reviewsfrom CSV fileBuild predictive modelPreprocess documents andconvert todocument vectors Category To Class Color Manager Partitioning Decision TreePredictor Scorer ROC Curve File Reader DecisionTree Learner Streaming textpreprocessing

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Nodes

13_​DocumentVector_​Hashing consists of the following 19 nodes(s):

Plugins

13_​DocumentVector_​Hashing contains nodes provided by the following 2 plugin(s):