Filters all terms of the input documents, which are contained in the specified stop word list and/or in the second input table. The node provides built-in stop word lists for various languages. Additionally, stop words can be passed to the second input port. At least one stopword list (built-in or custom list) has to be selected in the dialog.
Options
Filter options
Preprocessing options
Popular Predecessors
- Punctuation Erasure15 %
- N Chars Filter11 %
Excel Reader (XLS)8 %- Number Filter6 %
- Case Converter6 %
- Line Reader3 %
- Strings to Document3 %
- File Reader3 %
- CSV Reader2 %
- Table Creator2 %
- Excel Reader1 %
- Flat File Document Parser1 %
- Dictionary Filter1 %
- Concatenate< 1 %
Line Reader< 1 %- Duplicate Row Filter< 1 %
- Case Converter< 1 %
- Column Filter< 1 %
- NGram Creator< 1 %
- Sentence Extractor< 1 %
Table Reader< 1 %- GroupBy< 1 %
- OpenNLP NE Tagger< 1 %
Excel Reader (XLS)< 1 %- Tag Stripper< 1 %
- CSV Writer< 1 %
- Read Excel Sheet Names< 1 %
Row Filter (deprecated)< 1 %- Word Parser< 1 %
- Bag Of Words Creator< 1 %
Line Reader< 1 %- Java Snippet< 1 %
- Missing Value< 1 %
- Markup Tag Filter< 1 %
- Dictionary Replacer< 1 %
- Modifiable Term Filter< 1 %
- Tika Parser< 1 %
- Document Data Assigner< 1 %
File Reader< 1 %Column Rename< 1 %- String Manipulation< 1 %
- String Replacer< 1 %
- Diacritic Remover< 1 %
- Porter Stemmer< 1 %
- RegEx Filter< 1 %
- Replacer< 1 %
- Snowball Stemmer< 1 %
- Stanford Lemmatizer< 1 %
- Stop Word Filter< 1 %
- Tag Filter< 1 %
- PDF Parser< 1 %
- Dictionary Tagger< 1 %
- POS Tagger< 1 %
- Term to String< 1 %
- Cell Splitter< 1 %
Row Splitter (deprecated)< 1 %- Rule-based Row Filter< 1 %
- Rule-based Row Splitter< 1 %
- DB Reader< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Kuhlen Stemmer< 1 %
- Stanford Tagger< 1 %
- Document Data Extractor< 1 %
- List Box Input (legacy)< 1 %
- Tagged Document Viewer< 1 %
- File Reader (Complex Format)< 1 %
- Table Reader< 1 %
- Table Manipulator< 1 %
- Ungroup< 1 %
- Python Script (legacy)< 1 %
String Replace (Dictionary)< 1 %Joiner< 1 %- IF Switch< 1 %
- TF< 1 %
- Document Vector< 1 %
- Math Formula< 1 %
CSV Reader< 1 %- Oscar Tagger< 1 %
- Column Auto Type Cast< 1 %
- Column Merger< 1 %
- RowID< 1 %
- End IF< 1 %
Read Excel Sheet Names (XLS)< 1 %- Document Grabber< 1 %
- Abner Tagger< 1 %
- HiLite Row Splitter< 1 %
- Nominal Value Row Filter< 1 %
Table Row to Variable< 1 %List Files< 1 %- Group Loop Start< 1 %
Recursive Loop Start (2 ports)< 1 %- Create Table Structure< 1 %
- Filter Apply< 1 %
- Sorter< 1 %
- Empty Table Creator< 1 %
- Keygraph Keyword Extractor< 1 %
- String to Term< 1 %
- Tag Cloud (JavaScript)< 1 %
- Column Aggregator< 1 %
- Reference Row Filter< 1 %
- DF< 1 %
- Document Viewer< 1 %
- Table Editor (JavaScript)< 1 %
Database Reader< 1 %Loop End< 1 %Concatenate (Optional in)< 1 %- Create Bit Vector< 1 %
- XPath< 1 %
- URL Encode< 1 %
- Split Collection Column< 1 %
Table Column to Variable< 1 %Table Column to Variable< 1 %Simple File Reader< 1 %- Fixed Width File Reader< 1 %
String To Number< 1 %- String to Number< 1 %
- Column Resorter< 1 %
- Reference Column Filter< 1 %
- Filter Apply Row Splitter< 1 %
- Pivot< 1 %
- Normalizer Apply (PMML)< 1 %
- String to Number (PMML)< 1 %
- Table Transposer< 1 %
- Rule Engine Variable< 1 %
- Data Explorer< 1 %
- Parallel Chunk Start< 1 %
- DB Query Reader< 1 %
- Term Co-Occurrence Counter< 1 %
- IDF< 1 %
- StanfordNLP Open Information Extractor< 1 %
- Tika Language Detector< 1 %
- Dictionary Replacer (File-based)< 1 %
- RSS Feed Reader< 1 %
- Wildcard Tagger< 1 %
- StanfordNLP NE Tagger< 1 %
- Meta Info Extractor< 1 %
- Tags to String< 1 %
- Term Neighborhood Extractor< 1 %
- Unique Term Extractor< 1 %
- Single Selection (legacy)< 1 %
JSON Reader< 1 %- Tess4J< 1 %
Python Script (2⇒2)< 1 %- Window Loop Start< 1 %
- Twitter Search (legacy)< 1 %
XML Reader< 1 %- Binary Objects to Strings< 1 %
- Scorer< 1 %
- Column to Grid< 1 %
- Joiner< 1 %
- Partitioning< 1 %
- Column Splitter< 1 %
- Rule-based Row Filter (Dictionary)< 1 %
- CASE Switch End< 1 %
- OpenBabel< 1 %
- Math Formula (Variable)< 1 %
- Category to Class< 1 %
- Tika Parser URL Input< 1 %
- Hyphenator< 1 %
- Google Sheets Reader< 1 %
- Column Filter (legacy)< 1 %
- JSON to Table< 1 %
- R Snippet< 1 %
- String to Date&Time< 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_Document_clusteringKNIME Hub
- 01_Document_clusteringKNIME Hub
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