NodeDocument vector (deprecated)

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. Documents input table Type: Data
    The input table containing the bag of words.
Output ports
  1. Documents output table Type: Data
    An output table containing the documents with the related document vectors.
  1. Sentiment Analysis (Classification) of Documents with NGram Features
    education
    This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform …
    knime > Education > 02 KNIME Text Mining Course > Supplementary Workflows > Sentiment_Classification_with_NGrams
  2. KNIME Forum Analysis. Topic Classification in Posts
    NLP text processing natural language processing
    This workflow performs a supervised topic classification on the forum posts. The training set consists of the descriptio…
    knime > Examples > 50_Applications > 07_Forum_Analysis_of_the_KNIME_Forum > 02_Text_Classification_from_Forum_Posts
  3. KNIME Audio Nodes - Speech-to-Text Example
    This workflow shows the functionality of the KNIME Audio nodes in combination with Text Mining. The example audio file c…
    knime > Examples > 01_Data_Access > 08_Audio_Files > 01_Example_Speech-to-Text