This node creates a bag of words (BoW) of a set of documents. A BoW consists of at least one column containing the terms occurring in the corresponding document. All term related columns like the document column can be selected in the node dialog and will be copied to the output table.
Options
Popular Predecessors
- Snowball Stemmer11 %
Stop Word Filter7 %- Stop Word Filter5 %
- Tag Filter5 %
- Strings to Document3 %
- POS Tagger3 %
- Dictionary Tagger3 %
- Punctuation Erasure3 %
Excel Reader (XLS)2 %- Porter Stemmer2 %
- Number Filter2 %
- Case Converter1 %
- Wildcard Tagger1 %
- Document Grabber1 %
- N Chars Filter< 1 %
- Keygraph Keyword Extractor< 1 %
- Modifiable Term Filter< 1 %
- Dictionary Replacer< 1 %
- Tag Cloud (JavaScript)< 1 %
- Document Vector< 1 %
Python Script (1⇒1)< 1 %- Statistics< 1 %
- Chunk Loop Start< 1 %
Column Appender< 1 %- Partitioning< 1 %
- Stanford Lemmatizer< 1 %
- OpenNLP NE Tagger< 1 %
- Case Converter< 1 %
- Unique Term Extractor< 1 %
- String Replacer< 1 %
- RegEx Filter< 1 %
- Tag Stripper< 1 %
- StanfordNLP NE Tagger< 1 %
Concatenate (Optional in)< 1 %- Joiner< 1 %
Table Reader< 1 %- IDF< 1 %
- Tika Parser< 1 %
- Bag Of Words Creator< 1 %
- Document Data Extractor< 1 %
- Duplicate Row Filter< 1 %
- Term to String< 1 %
- File Reader< 1 %
Table Row To Variable Loop Start< 1 %- Column Filter< 1 %
Row Filter (deprecated)< 1 %- Reference Row Splitter< 1 %
- RowID< 1 %
- String Manipulation< 1 %
- Unpivot< 1 %
- TF< 1 %
- Oscar Tagger< 1 %
- Tags to String< 1 %
- Column Resorter< 1 %
- Term Co-Occurrence Counter< 1 %
- Tika Language Detector< 1 %
- RSS Feed Reader< 1 %
- Term Neighborhood Extractor< 1 %
File Reader< 1 %List Files< 1 %- Table Creator< 1 %
Loop End< 1 %- Binner (Dictionary)< 1 %
- Filter Apply< 1 %
Column Rename< 1 %- Row Sampling< 1 %
- NGram Creator< 1 %
- Dictionary Filter< 1 %
- Replacer< 1 %
- Stanford Tagger< 1 %
- Sentence Extractor< 1 %
- Twitter Search (legacy)< 1 %
- Chi-Square Keyword Extractor< 1 %
- Tagged Document Viewer< 1 %
- SVM Predictor< 1 %
Database Connection Table Reader< 1 %Line Reader< 1 %- Concatenate< 1 %
Row Splitter (deprecated)< 1 %- Reference Row Filter< 1 %
- GroupBy< 1 %
- Missing Value< 1 %
- Sorter< 1 %
- Rule-based Row Filter< 1 %
- Rule Engine< 1 %
- Color Manager< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Markup Tag Filter< 1 %
- Kuhlen Stemmer< 1 %
- Flat File Document Parser< 1 %
- PDF Parser< 1 %
- Word Parser< 1 %
- Abner Tagger< 1 %
- Dictionary Tagger (Multi Column)< 1 %
- String to Term< 1 %
- Group Loop Start< 1 %
String Replace (Dictionary)< 1 %CASE Switch Data (Start)< 1 %- Diacritic Remover< 1 %
- Table View (JavaScript)< 1 %
- R Snippet< 1 %
- XPath< 1 %
- Table Column to Variable< 1 %
- CSV Reader< 1 %
- Cross Joiner< 1 %
- Excel Reader< 1 %
- Spacy NER< 1 %
- Spacy POS Tagger< 1 %
- Table Row to Variable Loop Start< 1 %
Table Row to Variable< 1 %- Java Snippet< 1 %
- Cell Splitter< 1 %
- String Splitter (Regex)< 1 %
- Table Transposer< 1 %
- Rule-based Row Splitter< 1 %
- Term Vector< 1 %
- Column Filter (legacy)< 1 %
- Tess4J< 1 %
- HTML Parser< 1 %
- StanfordNLP Open Information Extractor< 1 %
Joiner< 1 %- Math Formula< 1 %
- Column Splitter< 1 %
- Ungroup< 1 %
- Amazon Comprehend (Entity Tagger)< 1 %
Excel Writer (XLS)< 1 %- Frequency Filter< 1 %
- Hyphenator< 1 %
- JSON Path< 1 %
- Line Reader< 1 %
- Table Reader< 1 %
- Column Auto Type Cast< 1 %
- k-Means< 1 %
- Value Counter< 1 %
- Term Document Entropy< 1 %
- Window Loop Start< 1 %
XML Reader< 1 %- Spell Checker (simple)< 1 %
- Pivot< 1 %
- Missing Value (Apply)< 1 %
- Conditional Label Assigner< 1 %
- Similarity Search< 1 %
Excel Reader (XLS)< 1 %Excel Writer (XLS)< 1 %- Word Vector Apply (legacy)< 1 %
- DF< 1 %
- Document Vector Applier< 1 %
- Column Combiner< 1 %
- Load Text Files< 1 %
- Load text-based files< 1 %
CSV Reader< 1 %Database Reader< 1 %String To Number< 1 %- Column Aggregator< 1 %
- Domain Calculator< 1 %
- Cache< 1 %
- String Matcher< 1 %
- Dictionary Replacer (File-based)< 1 %
- TF-IDF Similarity< 1 %
- Binary Objects to Strings< 1 %
- Strings to Binary Objects< 1 %
- Loop End (Column Append)< 1 %
Generic Loop Start< 1 %Variable Loop End< 1 %- Fuzzy c-Means< 1 %
- Create Bit Vector< 1 %
Cell Replacer< 1 %Number To String< 1 %- String to Number< 1 %
- String to SVG< 1 %
- Column Rename (Regex)< 1 %
- Constant Value Column< 1 %
- Table Validator< 1 %
- Extract Missing Value Cause< 1 %
- HiLite Row Splitter< 1 %
- Missing Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
String To Number (PMML)< 1 %- XML to PMML< 1 %
- Rank< 1 %
- Numeric Row Splitter< 1 %
- String Manipulation (Variable)< 1 %
- Rule-based Row Filter (Dictionary)< 1 %
Rank Correlation< 1 %- Empty Table Switch< 1 %
CASE Switch Data (End)< 1 %- End IF< 1 %
- IF Switch< 1 %
- Extract Table Dimension< 1 %
- Amazon Comprehend (Syntax Tagger)< 1 %
- DB Reader< 1 %
- Random Label Assigner< 1 %
- Column Expressions (legacy)< 1 %
Read Excel Sheet Names (XLS)< 1 %- StanfordNLP Relation Extractor< 1 %
- Category to Class< 1 %
- Tika Parser URL Input< 1 %
- Dml Document Parser< 1 %
- PubMed Document Parser< 1 %
- Document Data Assigner< 1 %
- Document Vector Hashing< 1 %
- Meta Info Extractor< 1 %
- Meta Info Inserter< 1 %
- Document Viewer< 1 %
- Table Editor (JavaScript)< 1 %
- JSON Transformer< 1 %
- Columns to JSON< 1 %
- JSON to Table< 1 %
- GET Request< 1 %
- String to Date&Time< 1 %
- Date&Time-based Row Filter< 1 %
- Modify Date< 1 %
- Modify Time< 1 %
- Twitter Retweet Search (legacy)< 1 %
Twitter Streaming (legacy)< 1 %- Text Classifier Predictor< 1 %
- Web Page Content Extractor< 1 %
- N-Gram Extractor< 1 %
- Create Collection Column< 1 %
- Split Collection Column< 1 %
- Column List Loop Start< 1 %
Recursive Loop End< 1 %- X-Aggregator< 1 %
- Decision Tree Predictor< 1 %
- Numeric Binner< 1 %
- Category to Number< 1 %
- String Manipulation (Multi Column)< 1 %
Parquet Reader< 1 %- k-Medoids< 1 %
- StanfordNLP NE Scorer< 1 %
- Term to Structure< 1 %
- Column Filter Configuration< 1 %
- JSON to XML< 1 %
- Python Script (legacy)< 1 %
- Python Source (legacy)< 1 %
- XML Reader< 1 %
Spacy Lemmatizer< 1 %Spacy NER< 1 %Spacy Tokenizer< 1 %Spacy Vectorizer< 1 %- HTML Node to Text< 1 %
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Workflows
00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub- 00_Topic_Modeling_with_Verified_ComponentsKNIME Hub
- 00_Topic_Modeling_with_Verified_ComponentsKNIME Hub
- 01 Flow VariableKNIME Hub
- 01 LoopKNIME Hub
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