Document Vector

Manipulator

This node creates a document vector for each document representing it in the terms space. The values of the feature vectors can be specified as boolean values or as values of a specified column i.e. an tf*idf column. The dimension of the vectors will be the number of distinct terms in the BoW.

Input Ports

  1. Type: Data
    The input table containing the bag of words.

Output Ports

  1. Type: Data
    An output table containing the documents with the related document vectors.
  2. Type: DocumentVectorPortObject
    A model containing node settings as well as column names of the term feature space.

  1. Importing, preprocessing, and clustering of textual data

    NLP Natural Language Processing
    This workflow shows how to import textual data, preprocess documents by filtering and stemming, transform documents into…
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

  2. Emil the TeacherBot - Extend Oracle Labels to Trainingset with k-NN

    NLP Natural Language Processing
    Once we have a subset labeled dataset by the oracle, we need to extend these classes to the whole training set. We do th…
    Users > knime > Examples > 50_Applications > 33_Emil_the_TeacherBot

  3. Sentiment Analysis (Classification) of Documents with NGram Features

    NLP Natural Language Processing
    This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform …
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

  4. Importing, preprocessing, and classification of textual data

    NLP Natural Language Processing
    This workflow shows how to import textual data, preprocess documents by filtering and stemming, transform documents into…
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

  5. Sentiment Analysis (Classification) of Documents

    sentiment analysis text processing NLP Natural Language Processing
    This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform …
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

  6. 02_Model_Building

    Customer Experience and Sentiment Analysis Use Case: Model Building Workflow Comments were collected from SKYTRAX which …
    Users > knime > Examples > 50_Applications > 45_Customer_Experience_and_Sentiment_Analysis

  7. Sunburst Visualizaion of Hierarchical Clustering

    NLP Natural Language Processing
    This workflow shows how to build a hierarchy of clusters and visualize the hierarchy using the Sunburst Chart. It reads …
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

  8. Emil the TeacherBot - Initial Training - Train Document Vector and Random Forest Model

    NLP Natural Language Processing
    This workflow is part of a number of other workflows that address a data mining scenario at the intersection of active l…
    Users > knime > Examples > 50_Applications > 33_Emil_the_TeacherBot

  9. Sentiment Analysis of Documents using Document Vector Adapter

    NLP Natural Language Processing
    The workflow shows how to use a Document Vector Adapter node in order to adjust the feature space of a second set of doc…
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

  10. Sentiment Analysis Classification of Documents (Streaming Enabled)

    NLP Natural Language Processing
    This workflow demonstrates how to use the KNIME Simple Streaming executor. This workflow shows how to import text from a…
    Users > knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing

Extension

This node is part of the extension

KNIME Textprocessing

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform