Extracts information from a document into data columns. The node enhanced the input table by appending for each extractor a new data column that contains the desired information of the document in the same row.
Options
Popular Predecessors
- PDF Parser15 %
Document vector3 %- Document Vector3 %
- Tika Parser2 %
- Word Parser2 %
- Strings to Document1 %
- Similarity Search1 %
- TF1 %
CSV Reader1 %- GroupBy1 %
- HTML Parser1 %
- Row Sampling< 1 %
- Punctuation Erasure< 1 %
- POS Tagger< 1 %
Bag of Words Creator< 1 %- Tika Language Detector< 1 %
- Table Reader< 1 %
- Workflow Executor< 1 %
- Dictionary Replacer (File-based)< 1 %
Strings To Document< 1 %- Duplicate Row Filter< 1 %
- RSS Feed Reader< 1 %
- GET Request< 1 %
- Webpage Retriever< 1 %
- Web Page Content Extractor< 1 %
- Column Appender< 1 %
- Table View (JavaScript)< 1 %
- Table Creator< 1 %
- RowID< 1 %
- Keygraph Keyword Extractor< 1 %
- N Chars Filter< 1 %
- Number Filter< 1 %
- PubMed Document Parser< 1 %
- Tags to String< 1 %
- Loop End< 1 %
- Pivot< 1 %
Column Rename< 1 %- Rule Engine< 1 %
- Diacritic Remover< 1 %
Stop Word Filter< 1 %- Document Grabber< 1 %
- String to Term< 1 %
Excel Reader (XLS)< 1 %- CSV Reader< 1 %
List Files< 1 %Table Reader< 1 %Column Appender< 1 %- Constant Value Column< 1 %
Row Filter (deprecated)< 1 %- Distance Matrix Calculate< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Category to Class< 1 %
- Snowball Stemmer< 1 %
- Flat File Document Parser< 1 %
- Chunk Loop Start< 1 %
- Variable to Table Row< 1 %
- File Reader (Complex Format)< 1 %
- String to Path< 1 %
- Concatenate< 1 %
Cell Replacer< 1 %- Column Filter< 1 %
- Sorter< 1 %
- String Manipulation< 1 %
- Rule-based Row Filter< 1 %
- Math Formula< 1 %
- NGram Creator< 1 %
- Case Converter< 1 %
- Dictionary Replacer< 1 %
- Porter Stemmer< 1 %
- RegEx Filter< 1 %
- Replacer< 1 %
- Stop Word Filter< 1 %
- Tag Filter< 1 %
- Tag Stripper< 1 %
- Abner Tagger< 1 %
- Dictionary Tagger< 1 %
POS tagger< 1 %- Bag Of Words Creator< 1 %
- Document Data Assigner< 1 %
- Document Data Extractor< 1 %
- Document Vector Applier< 1 %
Meta Info Extractor< 1 %- Sentence Extractor< 1 %
- Term to String< 1 %
- HTML Node to Text< 1 %
- Dictionary Filter< 1 %
- Stanford Lemmatizer< 1 %
- OpenNLP NE Tagger< 1 %
- Stanford Tagger< 1 %
- Document Extractor< 1 %
- File Reader< 1 %
- Joiner< 1 %
- Excel Reader< 1 %
- ICF< 1 %
- List Files/Folders< 1 %
- Table Row to Variable Loop Start< 1 %
- Nominal Value Row Filter< 1 %
- Create Bit Vector< 1 %
- Reference Row Filter< 1 %
Joiner< 1 %- Hyphenator< 1 %
Variable to Table Row< 1 %- Correlation Filter< 1 %
- String Similarity< 1 %
Scorer< 1 %Concatenate (Optional in)< 1 %String To Number< 1 %Linear Correlation< 1 %- String Replacer< 1 %
- Statistics< 1 %
- k-Medoids< 1 %
- XPath< 1 %
Recursive Loop Start< 1 %- Low Variance Filter< 1 %
- String Manipulation (Variable)< 1 %
- Table Transposer< 1 %
- Empty Table Creator< 1 %
- Java Snippet (simple)< 1 %
- Chi-Square Keyword Extractor< 1 %
- Java Snippet< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
PCA< 1 %- Case Converter< 1 %
- Column Aggregator< 1 %
- Cross Joiner< 1 %
- Partitioning< 1 %
Document Vector Adapter< 1 %Python Script (1⇒1)< 1 %- HTTP Retriever< 1 %
- Vector Length Normalization< 1 %
Line Reader< 1 %- k-Means< 1 %
- Decision Tree Predictor< 1 %
- Reference Column Filter< 1 %
- String Splitter (Regex)< 1 %
Excel Reader (XLS)< 1 %- Oscar Tagger< 1 %
StanfordNLP NE tagger< 1 %- StanfordNLP NE Tagger< 1 %
- Meta Info Extractor< 1 %
- Term Vector< 1 %
- Tag Cloud (JavaScript)< 1 %
- POST Request< 1 %
- Twitter Search< 1 %
Twitter Streaming< 1 %- Information Gain Calculator< 1 %
- N-Gram Extractor< 1 %
- Column Expressions< 1 %
- String to Date&Time< 1 %
Spacy Lemmatizer< 1 %- String to URI< 1 %
- URL to File Path< 1 %
Table Column to Variable< 1 %File Reader< 1 %Loop End< 1 %Row Splitter (deprecated)< 1 %- Missing Value< 1 %
- Numeric Row Splitter< 1 %
- Create Temp Dir (legacy)< 1 %
- Color Manager< 1 %
- SDF Reader< 1 %
- Index Query< 1 %
- Term Co-Occurrence Counter< 1 %
- DF< 1 %
- Frequency Filter< 1 %
Dictionary tagger< 1 %- Date&Time-based Row Filter< 1 %
XML Reader< 1 %- Feed Parser< 1 %
- Load Text Files< 1 %
- String to Table< 1 %
- File Meta Info (legacy)< 1 %
- Port to URI< 1 %
- Wait...< 1 %
- Create File Name (legacy)< 1 %
Database Reader< 1 %Extract Context Properties< 1 %Table Writer< 1 %- Loop End (Column Append)< 1 %
- Column List Loop Start< 1 %
- X-Aggregator< 1 %
- SVM Predictor< 1 %
- Random Forest Predictor< 1 %
- Column Auto Type Cast< 1 %
Number To String< 1 %- Missing Value Column Filter< 1 %
String To Number (PMML)< 1 %- Shuffle< 1 %
- Column Splitter< 1 %
- Ungroup< 1 %
- Math Formula (Multi Column)< 1 %
Read Excel Sheet Names (XLS)< 1 %Excel Writer (XLS)< 1 %- Term Document Entropy< 1 %
- Kuhlen Stemmer< 1 %
- Modifiable Term Filter< 1 %
- Dml Document Parser< 1 %
- Wildcard Tagger< 1 %
Stanford tagger< 1 %- Document Vector Hashing< 1 %
- Unique Term Extractor< 1 %
- Date&Time Input (legacy)< 1 %
- File Chooser (legacy)< 1 %
- JSON to XML< 1 %
- String to XML< 1 %
- StringCell To File< 1 %
- List Folders< 1 %
Loop End (2 ports)< 1 %- Group Loop Start< 1 %
- Hierarchical Cluster Assigner< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Cell Splitter< 1 %
- Column Rename (Regex)< 1 %
- One to Many< 1 %
- Data Explorer< 1 %
- End IF< 1 %
- Word Vector Apply (legacy)< 1 %
- Vocabulary Extractor (legacy)< 1 %
- Dictionary Tagger (Multi Column)< 1 %
- Term Neighborhood Extractor< 1 %
- Tag Cloud< 1 %
- Path to String< 1 %
- JSON Path< 1 %
- Tess4J< 1 %
- Modify Time< 1 %
- Twitter Post Tweet< 1 %
- XML Reader< 1 %
Views
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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
- 00. Install ExtensionsKNIME Hub
- 00. Install ExtensionsKNIME Hub
- Show all 460 workflows
Links
- Extract Tables from PDFby muthmann on 2018-10-30forum.knime.com/p/49256
- document to stringby qqilihq on 2020-01-26forum.knime.com/p/79799
Developers
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