Filters all terms contained in the input documents that consist of digits, including decimal separators "," or "." and possible leading "+" or "-". There is also an option to filter all terms that contain at least one digit.
Options
Preprocessing options
Filter options
Popular Predecessors
- Punctuation Erasure26 %
- N Chars Filter9 %
Stop Word Filter6 %Bag of Words Creator4 %- Case Converter4 %
- Strings to Document4 %
- POS Tagger3 %
POS tagger3 %- Column Filter3 %
File Reader2 %Strings To Document2 %- Flat File Document Parser2 %
- Stop Word Filter2 %
- Number Filter2 %
- Replacer2 %
- Dictionary Tagger1 %
- Tagged Document Viewer< 1 %
- Abner Tagger< 1 %
CSV Reader< 1 %- Tika Parser< 1 %
- Dictionary Replacer< 1 %
- Row Filter< 1 %
- Stanford Lemmatizer< 1 %
- RowID< 1 %
- Tag Filter< 1 %
- Modifiable Term Filter< 1 %
- Excel Reader< 1 %
- Diacritic Remover< 1 %
- Math Formula< 1 %
- CSV Reader< 1 %
- String Manipulation< 1 %
- Porter Stemmer< 1 %
- RegEx Filter< 1 %
- PDF Parser< 1 %
Stanford tagger< 1 %- Stanford Tagger< 1 %
- Rule-based Row Filter< 1 %
Joiner< 1 %- Snowball Stemmer< 1 %
- Rule Engine< 1 %
Table Reader< 1 %- Case Converter< 1 %
- Partitioning< 1 %
Dictionary tagger< 1 %OpenNLP NE tagger< 1 %- OpenNLP NE Tagger< 1 %
String To Number< 1 %- Dictionary Filter< 1 %
- Kuhlen Stemmer< 1 %
Wildcard tagger< 1 %- Bag Of Words Creator< 1 %
- Document Data Extractor< 1 %
- String to Term< 1 %
- Row Splitter< 1 %
- GroupBy< 1 %
- String Replacer< 1 %
- Value Counter< 1 %
- Hyphenator< 1 %
- Word Parser< 1 %
- Wildcard Tagger< 1 %
- Sentence Extractor< 1 %
- Term to String< 1 %
- Cell Splitter< 1 %
- Table Reader< 1 %
- Concatenate< 1 %
- Sorter< 1 %
- Double to Integer< 1 %
Cell Splitter< 1 %- Keygraph Keyword Extractor< 1 %
Document Data Extractor< 1 %- Missing Value< 1 %
String Replace (Dictionary)< 1 %- Dictionary Replacer (File-based)< 1 %
Number To String< 1 %- Column Resorter< 1 %
- Row Sampling< 1 %
- Network Creator< 1 %
- Duplicate Row Filter< 1 %
Excel Reader (XLS)< 1 %- Topic Extractor (Parallel LDA)< 1 %
- Create Date&Time Range< 1 %
- File Reader< 1 %
- Date&Time Difference< 1 %
- Number Formatter< 1 %
- One to Many< 1 %
- Constant Value Column< 1 %
- Dictionary Tagger (Multi Column)< 1 %
StanfordNLP NE tagger< 1 %- Table Creator< 1 %
Loop End< 1 %- Category to Number< 1 %
- String to Number< 1 %
- Rule-based Row Splitter< 1 %
- Markup Tag Filter< 1 %
- Tag Stripper< 1 %
- Dml Document Parser< 1 %
- String to Date&Time< 1 %
Extract Date&Time Fields< 1 %- Column Expressions< 1 %
- TF< 1 %
- Column Filter Configuration< 1 %
- Equal Size Sampling< 1 %
Column Rename< 1 %- Table Transposer< 1 %
- Statistics< 1 %
- Cache< 1 %
- Data Generator< 1 %
- Category to Class< 1 %
- StanfordNLP NE Tagger< 1 %
- Tags to String< 1 %
- Term to Structure< 1 %
- String Input (legacy)< 1 %
- Date&Time-based Row Filter< 1 %
- HTML Parser< 1 %
Cell Replacer< 1 %- Column Auto Type Cast< 1 %
- Number to Category (Apply)< 1 %
- String to SVG< 1 %
- Reference Row Filter< 1 %
- Normalizer< 1 %
- Pivot< 1 %
- Extract Table Spec< 1 %
XLS Reader< 1 %Excel Reader (XLS)< 1 %- Frequency Filter< 1 %
- Chi-Square Keyword Extractor< 1 %
- NGram Creator< 1 %
- Document Grabber< 1 %
- RSS Feed Reader< 1 %
- Oscar Tagger< 1 %
- Document Vector< 1 %
Meta Info Inserter< 1 %- Term Vector< 1 %
- Unique Term Extractor< 1 %
- Boolean Configuration< 1 %
- Column Filter (legacy)< 1 %
- Table View (JavaScript)< 1 %
- JSON to Table< 1 %
- Python Source (legacy)< 1 %
- Date&Time to String< 1 %
- Twitter Search< 1 %
Content Extractor< 1 %- Cross Joiner< 1 %
- Reference Column Filter< 1 %
- Joiner< 1 %
- Table Manipulator< 1 %
- Extract Table Dimension< 1 %
- Extract Date&Time Fields< 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 Development WorkflowKNIME Hub
- 01_caption_preprocessingKNIME Hub
- Show all 462 workflows
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