NodeDocument 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. 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.
  2. Model output Type: DocumentVectorPortObject
    A model containing node settings as well as column names of the term feature space.
  1. 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…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 07_Sentiment_Classification_with_NGrams
  2. 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 int…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 02_Document_Classification
  3. Guided Labeling for Document Classification
    active learning human-in-the-loop guided analytics document classification sentiment analysis topic detection tag cloud topic active learning uncertainty entropy sampling uncertainty sampling movie reviews highliting exploration exploitation label density potential weak supervision snorkel generative model discriminative model weak signals weak rules labeling function human-in-the-loop
    This workflow defines a fully automated web based application that will label your data using active learning and weak …
    knime > Examples > 50_Applications > 57_Guided_Labeling > 01_Guided_Labeling_for_Document_Classification
  4. Text Mining Course: Visualization
    education
    - Inspect decision tree via its view - Visualize bag of words using a tag cloud - Assign colors to terms in tag cloud. …
    knime > Education > 02 KNIME Text Mining Course > exercises > 11 Visualization
  5. Sentiment Analysis (Classification) of Documents
    sentiment analysis NLP Natural Language Processing text classification
    This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 03_Sentiment_Classification
  6. 02_Model_Building
    Customer Experience and Sentiment Analysis Use Case: Model Building Workflow Comments were collected from SKYTRAX which…
    knime > Examples > 50_Applications > 45_Customer_Experience_and_Sentiment_Analysis > 02_Model_Building
  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…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 22_Hierarchical_Clustering_Visualization
  8. 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 t…
    knime > Examples > 50_Applications > 33_Emil_the_TeacherBot > 06_AL_Extend_Expert_Classes_with_kNN
  9. Active Learning for Document Classification
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    This workflow defines a fully automated web based application that will label your data using active learning. The work…
    knime > Examples > 50_Applications > 57_Guided_Labeling > 02_Active_Learning_for_Document_Classification
  10. 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 int…
    nupurdogra > Public > Hospitality course structure > 01_Document_clustering