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
- Type: Data The input table containing the bag of words.
Output ports
- Type: Data An output table containing the documents with the related document vectors.
- Type: DocumentVectorPortObject A model containing node settings as well as column names of the term feature space.
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Importing, preprocessing, and classification of textual data
NLP Natural Language ProcessingThis 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 -
Sentiment Analysis (Classification) of Documents with NGram Features
NLP Natural Language ProcessingThis 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 -
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 -
Sunburst Visualizaion of Hierarchical Clustering
NLP Natural Language ProcessingThis 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 -
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 -
Sentiment Analysis (Classification) of Documents
sentiment analysis text processing NLP Natural Language ProcessingThis 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 -
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-loopThis 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 -
IMDB_Sentiment_With_Viz
Text Processing IMDBThis workflow uses KNIME's Text Processing nodes to classify movie reviews according to sentiment. It also includes som…scottf > Public > IMDB_Sentiment_With_Viz -
Active Learning 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 human-in-the-loopThis 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 -
Text Mining Course: Classification
education- Append color information based on class labels - Split data into training and test set - Train decision tree classifi…knime > Education > 02 KNIME Text Mining Course > exercises > 07 Classification