The first view shows a list of all document titles. The quick search offers the possibility to search documents distinctly by title, category, authors or source. It's also possible to reset the result of a search. The view described above will be again displayed. A double click on a title opens the document detail view. All the information of the document is shown, such as, title, text, journal title, author names, publication date, file name, category, source and type. In the detail view words can be searched and matches will be hilited. Tagged terms can be hilited as well. The tags themselves can also be displayed. Additionally, It is possible to turn off html parsing so that html documents can be displayed nicely.
Options
Popular Predecessors
Strings To Document7 %- Column Filter4 %
Joiner3 %Bag of Words Creator3 %- Strings to Document3 %
Stop Word Filter2 %Dictionary tagger2 %POS tagger2 %OpenNLP NE tagger2 %- Snowball Stemmer1 %
- HTML Parser1 %
Stanford tagger1 %- Punctuation Erasure1 %
- PDF Parser1 %
- Math Formula1 %
- Stop Word Filter1 %
Document Data Extractor< 1 %Scorer< 1 %- XPath< 1 %
Loop End< 1 %- Color Manager< 1 %
- Case Converter< 1 %
Wildcard tagger< 1 %- StanfordNLP NE Tagger< 1 %
- Bag Of Words Creator< 1 %
Excel Reader (XLS)< 1 %- OpenNLP NE Tagger< 1 %
- Row Sampling< 1 %
- Index Query< 1 %
Abner tagger< 1 %Document vector< 1 %- HTML Node to Text< 1 %
Spacy Tokenizer< 1 %Column Appender< 1 %- Rule-based Row Filter< 1 %
- Chi-Square Keyword Extractor< 1 %
- Flat File Document Parser< 1 %
Meta Info Inserter< 1 %Table Reader< 1 %- Missing Value< 1 %
- String Splitter (Regex)< 1 %
- Sorter< 1 %
- Markup Tag Filter< 1 %
- POS Tagger< 1 %
- Document Data Extractor< 1 %
- Sentence Extractor< 1 %
- HiLite Row Splitter< 1 %
- String Replacer< 1 %
- Stanford Lemmatizer< 1 %
- Tess4J< 1 %
- CSV Reader< 1 %
- ICF< 1 %
Spacy POS Tagger< 1 %- Spacy Tokenizer< 1 %
- Decision Tree Predictor< 1 %
Column Rename< 1 %- N Chars Filter< 1 %
StanfordNLP NE tagger< 1 %- Webpage Retriever< 1 %
- Loop End< 1 %
- Excel Reader< 1 %
Variable to Table Column< 1 %- k-Means< 1 %
- Partitioning< 1 %
- RowID< 1 %
String Replace (Dictionary)< 1 %- Category to Class< 1 %
- Dictionary Filter< 1 %
- Kuhlen Stemmer< 1 %
- Number Filter< 1 %
- PubMed Document Parser< 1 %
- Word Parser< 1 %
- RSS Feed Reader< 1 %
- Document Vector< 1 %
- Similarity Search< 1 %
- File Reader (Complex Format)< 1 %
- Table Reader< 1 %
- Joiner< 1 %
- Table Creator< 1 %
- Concatenate< 1 %
Concatenate (Optional in)< 1 %- Case Converter< 1 %
- Column Merger< 1 %
Row Splitter (deprecated)< 1 %Row Filter (deprecated)< 1 %- Reference Row Filter< 1 %
- GroupBy< 1 %
- String Manipulation< 1 %
- Word Vector Apply (legacy)< 1 %
- TF< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Diacritic Remover< 1 %
- Dictionary Replacer (File-based)< 1 %
- Dictionary Replacer< 1 %
- Hyphenator< 1 %
- Porter Stemmer< 1 %
- RegEx Filter< 1 %
- Replacer< 1 %
- Tag Filter< 1 %
- Document Grabber< 1 %
- Dml Document Parser< 1 %
- Tika Parser< 1 %
- Dictionary Tagger< 1 %
- Dictionary Tagger (Multi Column)< 1 %
- Wildcard Tagger< 1 %
- Stanford Tagger< 1 %
- Table View (JavaScript)< 1 %
- HTTP Retriever< 1 %
- Duplicate Row Filter< 1 %
- Document Vector Applier< 1 %
- Tagged Document Viewer< 1 %
- File Reader< 1 %
- SVM Predictor< 1 %
Spacy NER< 1 %Database Reader< 1 %File Reader< 1 %- Pivot< 1 %
- Rule Engine< 1 %
- IDF< 1 %
- Keygraph Keyword Extractor< 1 %
- Abner Tagger< 1 %
- Tags to String< 1 %
- GET Request< 1 %
List Files< 1 %- Term Document Entropy< 1 %
- Meta Info Inserter< 1 %
- TF-IDF Similarity< 1 %
- Top k Row Filter< 1 %
- Generic JavaScript View (JavaScript)< 1 %
- Extract Table Dimension< 1 %
- Frequency Filter< 1 %
- Term to String< 1 %
- Twitter Search (legacy)< 1 %
- String to XML< 1 %
- One-way ANOVA< 1 %
- k-Medoids< 1 %
- Document Data Assigner< 1 %
- R Snippet< 1 %
- Web Page Content Extractor< 1 %
- Table Manipulator< 1 %
- Unique Term Extractor< 1 %
Spacy Lemmatizer< 1 %- FeatureTextReader< 1 %
- Java Snippet< 1 %
- DF< 1 %
Oscar tagger< 1 %Python Script (1⇒1)< 1 %- POST Request< 1 %
- Chunk Loop Start< 1 %
- Hierarchical Cluster Assigner (local)< 1 %
- Linear Regression Learner< 1 %
Cell Splitter< 1 %- String to Number< 1 %
- Column Resorter< 1 %
- Amazon Comprehend (Syntax Tagger)< 1 %
- Tika Language Detector< 1 %
- Column Filter (legacy)< 1 %
- Tag Cloud (JavaScript)< 1 %
- Feed Parser< 1 %
- Feature Selection Loop End< 1 %
- Scorer< 1 %
Spacy Morphologizer< 1 %- CMUSphinx4 SR< 1 %
- Download / Upload from List (legacy)< 1 %
Table Row to Variable< 1 %Table Row To Variable Loop Start< 1 %CSV Reader< 1 %Line Reader< 1 %Linear Correlation< 1 %- Interactive HiLite Collector< 1 %
- Missing Value Column Filter< 1 %
- SDF Reader< 1 %
- Java Snippet (simple)< 1 %
- Term Co-Occurrence Counter< 1 %
- NGram Creator< 1 %
- String Matcher< 1 %
- Tika Parser URL Input< 1 %
- Modifiable Term Filter< 1 %
- Tag Stripper< 1 %
- Oscar Tagger< 1 %
- String to Term< 1 %
- Extract Time Window (legacy)< 1 %
XML Reader< 1 %- Text Classifier Model to Table< 1 %
Web Searcher< 1 %Loop End (3 ports)< 1 %- Split Collection Column< 1 %
- Unzip Files (legacy)< 1 %
Model Reader< 1 %- Column List Loop Start< 1 %
- Naive Bayes Learner< 1 %
- Binner (Dictionary)< 1 %
- Column Combiner< 1 %
Number To String< 1 %- Number to String< 1 %
- Column Rename (Regex)< 1 %
- Nominal Value Row Filter< 1 %
- Column Filter (PMML)< 1 %
- Rank< 1 %
- Numeric Row Splitter< 1 %
- Table Transposer< 1 %
- Unpivot< 1 %
- Rule-based Row Splitter< 1 %
- Statistics< 1 %
- Cache< 1 %
- Amazon Comprehend (Entity Tagger)< 1 %
- Distance Matrix Calculate< 1 %
XLS Reader< 1 %Excel Reader (XLS)< 1 %- Sdml Document Parser< 1 %
- Document Vector Hashing Applier< 1 %
- Term Neighborhood Extractor< 1 %
- Term Vector< 1 %
- Google Sheets Reader< 1 %
- Text Output (legacy)< 1 %
- Decision Tree View (JavaScript)< 1 %
JSON Reader< 1 %- JSON to Table< 1 %
Extract Date&Time Fields< 1 %- Twitter Users (legacy)< 1 %
- XML Row Combiner< 1 %
- XSLT< 1 %
- N-Gram Extractor< 1 %
- String Similarity< 1 %
- URL Extractor< 1 %
- HTTP Result Data Extractor< 1 %
OAuth< 1 %- Benchmark Start< 1 %
- Load text-based files< 1 %
- Spell Checker (simple)< 1 %
- Variable to Table Row< 1 %
- Read Images< 1 %
- Recursive Loop End< 1 %
- Cluster Assigner< 1 %
- Hierarchical Clustering< 1 %
- Cross Joiner< 1 %
- Constant Value Column Filter< 1 %
- Row Filter (Labs)< 1 %
- String Manipulation (Multi Column)< 1 %
- Extract Table Spec< 1 %
- StanfordNLP Open Information Extractor< 1 %
- Files/Folders Meta Info< 1 %
- Path to String< 1 %
- Table to JSON< 1 %
- String to Date&Time< 1 %
- Table to HTML String< 1 %
Regex Extractor< 1 %
Views
- Document View
- Displays the data of the documents.
Workflows
01 Document ViewerKNIME Hub- 01 Document ViewerKNIME Hub
- 01 Document ViewerKNIME Hub
- 01 Document ViewerKNIME Hub
- 01 Document ViewerKNIME Hub
- Show all 233 workflows
Links
- No links available
Developers
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