Stop Word Filter

Manipulator

Filters all terms of the input documents, which are contained in the specified stop word list and/or in the second input table. The node provides built-in stop word lists for various languages. Additionally, stop words can be passed to the second input port. At least one stopword list (built-in or custom list) has to be selected in the dialog.

Input Ports

  1. Type: Data The input table which contains the documents to preprocess.
  2. Type: Data The input table which contains a string column with one stop word per row.

Output Ports

  1. Type: Data The output table which contains the preprocessed documents.

  1. Topic Extraction

    topic extraction clustering k-Means machine learning data mining
    This workflow shows how to extract topics from text documents using the Topic Extractor node, and how to determine an op…
    Examples > 08_Other_Analytics_Types > 01_Text_Processing

  2. Network Analytics meets Text Processing

    Network mining Text Processing Text Mining Graph Authority Score Influencer Hub Score Sentiment score Sentiment Analysis
    This workflow combines two pre-processing techniques: network analytics and text processing.The goal of the text process…
    Examples > 08_Other_Analytics_Types > 04_Social_Media

  3. Lexicon Based Approach for Sentiment Analysis

    NLP sentiment analysis text processing
    This workflow shows how to perform a lexycon based approach for sentiment analysis of IMDB reviews dataset. The dataset …
    Examples > 08_Other_Analytics_Types > 01_Text_Processing

  4. Using Jupyter from KNIME to embed documents

    Jupyter Python visualization exploration topic modeling database text mining ChEMBL
    Uses functionality provided in a Jupyter notebook to embed documents from a topic-space representation into 2D Euclidean…
    Examples > 07_Scripting > 03_Python

  5. 01_Initial_Model_Training

    Examples > 50_Applications > 33_Emil_the_TeacherBot

  6. Distances on Word Embeddings

    word embedding Word2Vec neural network deep learning
    Here we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, t…
    Examples > 08_Other_Analytics_Types > 01_Text_Processing

  7. Topic Detection LDA: Summarizing Romeo & Juliet

    topic detection text summarization LDA text processing
    This workflow extracts topics from the "Romeo & Juliet" epub book using the Topic Extractor (Parallel LDA) node. It read…
    Examples > 08_Other_Analytics_Types > 01_Text_Processing

  8. Importing, preprocessing and clustering of textual data

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

  9. Sunburst Visualizaion of Hierarchical Clustering

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

  10. Online Job Postings

    The workflow perofrms text processing of the Job Posts dataset: takes out only IT related postings, extracts the most fr…
    Examples > 08_Other_Analytics_Types > 01_Text_Processing

Find here

Other Data Types > Text Processing > Preprocessing

Make sure to have this extension installed:

KNIME Textprocessing

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions