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.
Options
Popular Predecessors
- TF18 %
- Bag Of Words Creator7 %
- Math Formula7 %
- Joiner2 %
- Concatenate2 %
- IDF2 %
- Java Snippet2 %
- Document Vector Applier2 %
- Strings to Document1 %
Table Reader1 %- Stop Word Filter1 %
- Reference Row Filter1 %
- Column Expressions (legacy)1 %
- Document Vector1 %
- Chi-Square Keyword Extractor1 %
Excel Reader (XLS)1 %- Sentence Extractor1 %
- Category to Class< 1 %
- Tag Cloud (JavaScript)< 1 %
- File Reader< 1 %
- Sorter< 1 %
- Keygraph Keyword Extractor< 1 %
- Unique Term Extractor< 1 %
Column Appender< 1 %- Frequency Filter< 1 %
- NGram Creator< 1 %
- Modifiable Term Filter< 1 %
- Similarity Search< 1 %
- Java Snippet (simple)< 1 %
- Term Co-Occurrence Counter< 1 %
- Excel Reader< 1 %
- Missing Value< 1 %
- String Manipulation< 1 %
- N Chars Filter< 1 %
- Word Vector Apply (legacy)< 1 %
- Hierarchical Clustering< 1 %
- Numeric Binner< 1 %
- Column Filter< 1 %
Row Filter (deprecated)< 1 %- GroupBy< 1 %
- Partitioning< 1 %
- Case Converter< 1 %
- Number Filter< 1 %
- Punctuation Erasure< 1 %
- Snowball Stemmer< 1 %
- Tag Filter< 1 %
- PDF Parser< 1 %
- OpenNLP NE Tagger< 1 %
- POS Tagger< 1 %
- Document Data Extractor< 1 %
- String to Term< 1 %
- Term to String< 1 %
- Term Vector< 1 %
Scorer< 1 %- Duplicate Row Filter< 1 %
- Reference Column Filter< 1 %
- DF< 1 %
- Stanford Tagger< 1 %
- Document Data Assigner< 1 %
- Document Vector Hashing< 1 %
- CSV Reader< 1 %
- Column Appender< 1 %
- Vocabulary Extractor (legacy)< 1 %
- Spacy Tokenizer< 1 %
- Table Creator< 1 %
Loop End< 1 %Row Splitter (deprecated)< 1 %- Row Sampling< 1 %
- Rule Engine (Dictionary)< 1 %
Table Column to Variable< 1 %Concatenate (Optional in)< 1 %- Binner (Dictionary)< 1 %
Column Rename< 1 %- Column Splitter< 1 %
- Table Reader< 1 %
CSV Reader< 1 %Number To String< 1 %Joiner< 1 %- End IF< 1 %
- Word Parser< 1 %
- X-Aggregator< 1 %
- Cell Splitter< 1 %
Excel Reader (XLS)< 1 %- ICF< 1 %
- Stanford Lemmatizer< 1 %
- Tika Parser< 1 %
PCA< 1 %- Column Auto Type Cast< 1 %
CASE Switch Data (Start)< 1 %- String Matcher< 1 %
- Container Input (Table)< 1 %
- Auto-Binner< 1 %
- Create Bit Vector< 1 %
- Column Combiner< 1 %
- Column Merger< 1 %
- Diacritic Remover< 1 %
- Dictionary Filter< 1 %
- Kuhlen Stemmer< 1 %
- Document Grabber< 1 %
- XPath< 1 %
- Pivot< 1 %
Database Reader< 1 %File Reader< 1 %Gradient Boosted Trees Predictor< 1 %- Rule-based Row Filter< 1 %
- Math Formula (Multi Column)< 1 %
- Dictionary Replacer< 1 %
- Porter Stemmer< 1 %
- Replacer< 1 %
- Flat File Document Parser< 1 %
- PubMed Document Parser< 1 %
- TF-IDF Similarity< 1 %
Variable to Table Row< 1 %- ARFF Reader< 1 %
- Naive Bayes Predictor< 1 %
- k-Means< 1 %
- Decision Tree Predictor< 1 %
- Case Converter< 1 %
String To Number< 1 %- String to Number< 1 %
- One to Many< 1 %
- Constant Value Column< 1 %
- Missing Value Column Filter< 1 %
- Normalizer< 1 %
- Set Operator< 1 %
- Top k Row Filter< 1 %
- Value Counter< 1 %
CASE Switch Data (End)< 1 %- Timer Info< 1 %
- Color Manager< 1 %
- Parallel Chunk Start< 1 %
- Distance Matrix Calculate< 1 %
- Term Document Entropy< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Markup Tag Filter< 1 %
- RegEx Filter< 1 %
- Dictionary Tagger< 1 %
- Dictionary Tagger (Multi Column)< 1 %
- Wildcard Tagger< 1 %
- Tags to String< 1 %
- Term Neighborhood Extractor< 1 %
- XML to JSON< 1 %
- String to Date&Time< 1 %
- Atom Signatures< 1 %
- Extract Column Properties< 1 %
- Split Collection Column< 1 %
- Java Edit Variable< 1 %
- Numeric Scorer< 1 %
- Number to String< 1 %
- Cross Joiner< 1 %
- Missing Value (Apply)< 1 %
- Rank< 1 %
- String Replacer< 1 %
String Replace (Dictionary)< 1 %- Rule-based Row Splitter< 1 %
- Extract Table Dimension< 1 %
- Doc2Vec Learner (legacy)< 1 %
- Dictionary Replacer (File-based)< 1 %
- Abner Tagger< 1 %
- StanfordNLP NE Tagger< 1 %
- Meta Info Inserter< 1 %
- JSON to XML< 1 %
- Laplacian Matrix< 1 %
- Python Script (legacy)< 1 %
- Corpus Creator< 1 %
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Workflows
00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub- 01_Document_clusteringKNIME Hub
- 01_Document_clusteringKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
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