This node allows you to convert terms of a defined column into strings and attach a new column containing the these strings. The tags of the terms get lost, since only the words of the terms are converted.
Options
Popular Predecessors
Bag of Words Creator37 %- Bag Of Words Creator12 %
- GroupBy2 %
- Column Aggregator2 %
Document Data Extractor1 %- Cell Splitter1 %
Stop Word Filter1 %POS tagger< 1 %- Nominal Value Row Filter< 1 %
- NGram Creator< 1 %
- Porter Stemmer< 1 %
- Sentence Extractor< 1 %
- Similarity Search< 1 %
Row Filter (deprecated)< 1 %- Frequency Filter< 1 %
- TF< 1 %
- Document Vector< 1 %
- Strings to Document< 1 %
- Set Operator< 1 %
- Column Appender< 1 %
- Punctuation Erasure< 1 %
- Top k Row Filter< 1 %
- Tagged Document Viewer< 1 %
Column Rename< 1 %- Sorter< 1 %
- Term Co-Occurrence Counter< 1 %
- Chi-Square Keyword Extractor< 1 %
- Term Neighborhood Extractor< 1 %
- Term to String< 1 %
- Unique Term Extractor< 1 %
- Loop End< 1 %
- String Matcher< 1 %
- Column Filter< 1 %
Row Splitter (deprecated)< 1 %- Reference Row Filter< 1 %
- Rule-based Row Filter< 1 %
- Math Formula< 1 %
- DF< 1 %
- IDF< 1 %
- Category to Class< 1 %
- Keygraph Keyword Extractor< 1 %
- Number Filter< 1 %
- Snowball Stemmer< 1 %
- Stanford Lemmatizer< 1 %
- Tag Filter< 1 %
OpenNLP NE tagger< 1 %- Document Data Extractor< 1 %
Strings To Document< 1 %- String to Term< 1 %
- Tags to String< 1 %
- Duplicate Row Filter< 1 %
- Term Document Entropy< 1 %
- Dictionary Filter< 1 %
- Row Filter (Labs)< 1 %
- Joiner< 1 %
- Excel Reader< 1 %
CSV Reader< 1 %Cell Splitter< 1 %- Constant Value Column< 1 %
- String Manipulation< 1 %
- Rule-based Row Splitter< 1 %
- Case Converter< 1 %
- Term Vector< 1 %
- Pivot< 1 %
- Dictionary Replacer (File-based)< 1 %
- Dictionary Replacer< 1 %
- Wildcard Tagger< 1 %
File Reader< 1 %Cell Replacer< 1 %- Reference Column Filter< 1 %
- Rule Engine< 1 %
- Dictionary Tagger< 1 %
Variable to Table Row< 1 %- Column List Loop Start< 1 %
- Column Resorter< 1 %
- Statistics< 1 %
- StanfordNLP NE Tagger< 1 %
- Date&Time to String< 1 %
- Table Creator< 1 %
- Java Snippet< 1 %
- Concatenate< 1 %
Joiner< 1 %- Row Sampling< 1 %
Excel Reader (XLS)< 1 %- Java Snippet (simple)< 1 %
- POS Tagger< 1 %
- Term to Structure< 1 %
Simple Table View (JavaScript)< 1 %- Case Converter< 1 %
- Double to Integer< 1 %
- Reference Row Splitter< 1 %
- Column Splitter< 1 %
- IF Switch< 1 %
- Word Parser< 1 %
- Dictionary Tagger (Multi Column)< 1 %
- N-Gram Extractor< 1 %
Read FASTA< 1 %- Document Viewer< 1 %
Table Reader< 1 %Loop End< 1 %- Normalizer< 1 %
- Partitioning< 1 %
- Missing Value< 1 %
- Rank< 1 %
- String Replacer< 1 %
- Color Manager< 1 %
- Molecule Type Cast< 1 %
- Parallel Chunk Start< 1 %
- Java Edit Variable (simple)< 1 %
- Tika Language Detector< 1 %
- N Chars Filter< 1 %
- Tag Stripper< 1 %
- Flat File Document Parser< 1 %
- PDF Parser< 1 %
Abner tagger< 1 %Wildcard tagger< 1 %- OpenNLP NE Tagger< 1 %
Python Script (1⇒1)< 1 %Python Script (2⇒1)< 1 %- RDKit Canon SMILES< 1 %
- Split Collection Column< 1 %
Table Column to Variable< 1 %- Category to Number< 1 %
Column Appender< 1 %- Lag Column< 1 %
- Column Merger< 1 %
- Cross Joiner< 1 %
- Subset Matcher< 1 %
- RowID< 1 %
- Numeric Row Splitter< 1 %
- Ungroup< 1 %
- Unpivot< 1 %
- Value Counter< 1 %
- Empty Table Switch< 1 %
- Parallel Chunk End< 1 %
- One Row to Many< 1 %
- Item Set Finder (Borgelt)< 1 %
- Math Formula (Multi Column)< 1 %
- Math Formula (Variable)< 1 %
Excel Reader (XLS)< 1 %- ICF< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Markup Tag Filter< 1 %
- Diacritic Remover< 1 %
- Kuhlen Stemmer< 1 %
- Modifiable Term Filter< 1 %
- RegEx Filter< 1 %
- Stop Word Filter< 1 %
Dictionary tagger< 1 %Stanford tagger< 1 %- Column Filter (legacy)< 1 %
- Tag Cloud (JavaScript)< 1 %
- JSON Path< 1 %
- CSV Reader< 1 %
- Fuzzy Rule Learner< 1 %
- Number to String< 1 %
- Number to String (PMML)< 1 %
String Replace (Dictionary)< 1 %- Table Difference Finder< 1 %
- Extract Table Spec< 1 %
- Crosstab< 1 %
- Stanford Tagger< 1 %
- Meta Info Extractor< 1 %
- Meta Info Inserter< 1 %
- Find Elements< 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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Developers
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