This node creates ngrams from the documents of the input table and counts their frequencies. It can be specified whether word or character ngrams are created. Furthermore it can be specified whether the output table is of a bag of words like structure or a data table containing ngrams and their frequencies in the corpus and documents.
Options
Popular Successors
- Interactive Table (legacy)3 %
Bag of Words Creator3 %Document Data Extractor2 %- Duplicate Row Filter2 %
Joiner2 %Excel Writer (XLS)2 %- Column Filter2 %
Row Filter (deprecated)2 %- Rule-based Row Filter2 %
- Term Co-Occurrence Counter2 %
- Term Vector2 %
- Dictionary Tagger1 %
- Tags to String1 %
- Term to String1 %
Document Viewer1 %- Tag Cloud (JavaScript)1 %
Concatenate (Optional in)1 %- Constant Value Column1 %
- Stop Word Filter1 %
- Concatenate1 %
- Case Converter1 %
Cell Splitter1 %Linear Correlation1 %- Reference Row Filter1 %
- StanfordNLP Open Information Extractor1 %
- Category to Class1 %
- Case Converter1 %
- N Chars Filter1 %
POS tagger1 %- Document Vector1 %
- Corpus Creator1 %
- Hierarchical Clustering (DistMatrix)< 1 %
- Cell Splitter< 1 %
Column Rename< 1 %- Excel Writer< 1 %
- IDF< 1 %
- NGram Creator< 1 %
- Punctuation Erasure< 1 %
- Snowball Stemmer< 1 %
- Bag Of Words Creator< 1 %
- String to Term< 1 %
- Tag Cloud< 1 %
- N-Gram Extractor< 1 %
- CSV Writer< 1 %
- Naive Bayes Predictor< 1 %
- GroupBy< 1 %
- Joiner< 1 %
- Partitioning< 1 %
- Pivot< 1 %
- Sorter< 1 %
- TF< 1 %
- Topic Extractor (Parallel LDA)< 1 %
- Stanford Tagger< 1 %
- Document Data Extractor< 1 %
Strings To Document< 1 %- Strings to Document< 1 %
Table Writer< 1 %- Decision Tree Learner< 1 %
- Column Splitter< 1 %
XLS Writer< 1 %Excel Writer (XLS)< 1 %Stop Word Filter< 1 %- Unique Term Extractor< 1 %
- Column Combiner< 1 %
- Crosstab< 1 %
- Box Plot (legacy)< 1 %
- Color Manager< 1 %
- Similarity Search< 1 %
- NG Construct (beta)< 1 %
- Column Expressions (legacy)< 1 %
- Histogram Chart (JFreeChart)< 1 %
Word Vector Learner (legacy)< 1 %- DF< 1 %
- POS Tagger< 1 %
Document vector< 1 %- Document Vector Applier< 1 %
- Plate Heatmap Viewer< 1 %
- Variable to Table Column< 1 %
CSV Writer< 1 %Counting Loop Start< 1 %Column Appender< 1 %- Column Appender< 1 %
- Reference Row Splitter< 1 %
- Value Counter< 1 %
- Rule Engine< 1 %
- Parallel Chunk End< 1 %
- 3D Scatter Plot (Plotly)< 1 %
- Math Formula< 1 %
- Table Indexer< 1 %
XLS Sheet Appender< 1 %Excel Sheet Appender (XLS)< 1 %- Word2Vec Learner (legacy)< 1 %
- Term Document Entropy< 1 %
- Keygraph Keyword Extractor< 1 %
- Porter Stemmer< 1 %
- Hierarchy Extractor< 1 %
- R Snippet< 1 %
- String Similarity< 1 %
- TF-IDF Similarity< 1 %
- Create Collection Column< 1 %
Variable to Table Column< 1 %Database Writer< 1 %Parameterized Database Query< 1 %- Java Snippet< 1 %
Loop End< 1 %Variable Condition Loop End< 1 %Naive Bayes Learner< 1 %- Cluster Assigner< 1 %
- k-Means< 1 %
- DBSCAN< 1 %
- Decision Tree Predictor< 1 %
PCA< 1 %Cell Replacer< 1 %- Column Comparator< 1 %
- Column Renamer (Dictionary)< 1 %
- Cross Joiner< 1 %
- Reference Column Filter< 1 %
- Constant Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
Row Splitter (deprecated)< 1 %- Row Filter (Labs)< 1 %
- Normalizer< 1 %
- Rank< 1 %
- String Splitter (Regex)< 1 %
- Numeric Row Splitter< 1 %
- Set Operator< 1 %
- String Manipulation< 1 %
- String Replacer< 1 %
String Replace (Dictionary)< 1 %- Top k Row Filter< 1 %
- Renderer to Image< 1 %
- Rule-based Row Splitter< 1 %
- Rule Engine (Dictionary)< 1 %
- Rule-based Row Filter (Dictionary)< 1 %
- Statistics< 1 %
- Extract Table Dimension< 1 %
- HiLite Table (legacy)< 1 %
- Histogram (legacy)< 1 %
- Interactive Histogram (legacy)< 1 %
- Interactive Pie chart (legacy)< 1 %
- Numeric Distances< 1 %
- String Distances< 1 %
- Distance Matrix Calculate< 1 %
- K Nearest Neighbor (Distance Function)< 1 %
- NG Construct&View< 1 %
Table to PDF< 1 %- Pie Chart (JFreeChart)< 1 %
- Java Snippet (simple)< 1 %
- Radar Plot Appender< 1 %
- Frequency Filter< 1 %
- Chi-Square Keyword Extractor< 1 %
- Markup Tag Filter< 1 %
- String Matcher< 1 %
- Tika Language Detector< 1 %
- Dictionary Filter< 1 %
- Dictionary Replacer< 1 %
- Modifiable Term Filter< 1 %
- Number Filter< 1 %
Porter Stemmer< 1 %- RegEx Filter< 1 %
- Replacer< 1 %
- Stanford Lemmatizer< 1 %
- Tag Filter< 1 %
Dictionary tagger< 1 %- Dictionary Tagger (Multi Column)< 1 %
StanfordNLP NE tagger< 1 %Document vector hashing< 1 %- Document Vector Hashing< 1 %
- Meta Info Extractor< 1 %
- Sentence Extractor< 1 %
- Document Viewer< 1 %
- Column Filter (legacy)< 1 %
- Generic JavaScript View (JavaScript)< 1 %
- Table View (JavaScript)< 1 %
- Object Inserter< 1 %
- Network Viewer< 1 %
- Data to Report (BIRT)< 1 %
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Workflows
00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub- 01_FrequenciesKNIME Hub
- 01_FrequenciesKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
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Developers
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