Icon

PreProcess_​and_​Topics

Input:a table containing the raw form of documents within the dataset Process:a) a text-preprocessing is performed on the dataset using various NLP techniquesb) extracting latent topics from the dataset using the LDA algorithmOutput:a) a table containing the BOW feature vector representationb) a table containing the detected LDA topics dataBinary vectorcreationNode 126Node 127Node 196Extract topics fromdocumentsNode 445Node 460Node 463Node 464Node 465 Category To Class Table Reader(deprecated) Column Filter Document Vector Preprocessing Table Writer(deprecated) Java Edit Variable Topic Extractor(Parallel LDA) Column Rename Column Filter Table Writer(deprecated) Java Edit Variable Column Resorter Input:a table containing the raw form of documents within the dataset Process:a) a text-preprocessing is performed on the dataset using various NLP techniquesb) extracting latent topics from the dataset using the LDA algorithmOutput:a) a table containing the BOW feature vector representationb) a table containing the detected LDA topics dataBinary vectorcreationNode 126Node 127Node 196Extract topics fromdocumentsNode 445Node 460Node 463Node 464Node 465 Category To Class Table Reader(deprecated) Column Filter Document Vector Preprocessing Table Writer(deprecated) Java Edit Variable Topic Extractor(Parallel LDA) Column Rename Column Filter Table Writer(deprecated) Java Edit Variable Column Resorter

Nodes

Extensions

Links