NodeDictionary Tagger

Manipulator

This node recognizes named entities specified in a dictionary column and assigns a specified tag value and type. Optionally the recognized named entity terms can be set unmodifiable, meaning that the terms are not modified or filtered afterwards by any following node.

Input ports

  1. Documents input table Type: Data
    The input table containing the documents to tag.
  2. Dictionary input table Type: Data
    The input table containing the dictionary column.

Output ports

  1. Documents output table Type: Data
    An output table containing the tagged documents.

  1. Dictionary based Tagging

    NLP Natural Language Processing
    This workflows provides two dictionaries that are used for tagging documents. The documents are fairy tales from Brother…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 04_Dictionary_based_Tagging

  2. Emil the TeacherBot - Deployment via WebPortal Interface

    KNIME WebPortal KNIME Server Emil Teacher Bot text processing Micro Services NLP Natural Language Processing
    This workflow deploys a teacher bot. That is: - it displays a textbox for the user to ask a question - it parses the tex…
    knime > Examples > 50_Applications > 33_Emil_the_TeacherBot > 01_Emil_the_TeacherBot

  3. Text Mining Course: Visualization II (bonus)

    education
    - View document content - View document content and highlight tagged terms - View tagged documents
    knime > Education > 02 KNIME Text Mining Course > exercises > 12 Visualization II - bonus

  4. Network Analytics meets Text Processing

    Network mining Text Processing Text Mining Graph Authority Score Influencer Hub Score Sentiment score Sentiment Analysis education
    This workflow combines two pre-processing techniques: network analytics and text processing.The goal of the text process…
    knime > Education > 02 KNIME Text Mining Course > Supplementary Workflows > NetworkAnalytics_meets_TextProcessing

  5. Text Mining Course: Enrichment II (solution)

    education solution
    There has been no description set for this workflow's metadata.
    knime > Education > 02 KNIME Text Mining Course > solutions > 03 Enrichment II - solution

  6. Text Mining Course: Visualization II (solution)

    education solution
    There has been no description set for this workflow's metadata.
    knime > Education > 02 KNIME Text Mining Course > solutions > 12 Visualization II - solution

  7. Emil the TeacherBot - Class Labels based on Distance Matching between Resource Documents and Forum Questions

    NLP Natural Language Processing
    - Extract keywords from Resource Documents. - Extract keywords from Forum questions. - Run a similarity search between k…
    knime > Examples > 50_Applications > 33_Emil_the_TeacherBot > 02_AL_First_Try_Assign_Classes_via_Distance

  8. Emil the TeacherBot - WebPortal Interface - Re-Labeling I

    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…
    knime > Examples > 50_Applications > 33_Emil_the_TeacherBot > 05_AL_Re-label_Uncertain_Classes

  9. 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…
    knime > Examples > 50_Applications > 33_Emil_the_TeacherBot > 06_AL_Extend_Expert_Classes_with_kNN

  10. Blend Languages in a Tag Cloud

    This workflow demonstrates how different languages can be blend with KNIME. The question is, can they be blend? Read our…
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 20_Blending_Languages > 20_Blend_Languages_in_Tag_Cloud