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Document Vector Hashing Applier

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This node creates a document vector for each document representing it in the terms space. The values of the feature vectors will be boolean values or as values of either the relative frequency or the absolute frequency of the terms. This node needs a model input provided by the Document vector hashing node which contains the specifications for vector creation.

Node details

Input ports
  1. Type: VectorHashingPortObject
    Model input
    The model containing the settings to create the document vector space.
  2. Type: Table
    Documents input table
    The input table containing the documents.
Output ports
  1. Type: Table
    Documents output table
    An output table containing the input documents with the corresponding document vectors.

Extension

The Document Vector Hashing Applier node is part of this extension:

Related workflows & nodes

  1. Chapter 4/Exercise 3. Document Vector Hashing Creation from the Movie Review Dataset
    Books Text Mining From Words To Wisdom
    +1
    Read the Large Movie Review Dataset [1]. The dataset contains labeled reviews as positive…
    vincenzo > Public > From_Words_To_Wisdom_Book > Chapter4 > Exercises > Exercise 3. DocumentVectorHashing_Creation_on_Large_Movie_Review_Dataset
    vincenzo