Filters terms in the given bag of words with a certain frequency value. On the one hand minimum and maximum values can be defined to be used for filtering. If the value of a specified frequency column is less than the minimum or greater than the maximum value the term is filtered. On the other hand a number k of terms to keep can be defined. Only those k terms with the highest frequency value are kept, the rest is filtered.
Options
Filter options
Deep Filtering
Popular Successors
CSV Writer7 %Joiner5 %- Tag Cloud4 %
- Hierarchical Clustering3 %
- Reference Row Filter2 %
- Tag Filter2 %
- Concatenate2 %
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- Term to String2 %
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Excel Writer (XLS)1 %- IDF1 %
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- Tag Cloud (JavaScript)1 %
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Excel Writer (XLS)1 %- Term Co-Occurrence Counter1 %
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Scorer< 1 %Column Appender< 1 %- Interactive Table (legacy)< 1 %
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Loop End< 1 %- Decision Tree Learner< 1 %
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String To Number< 1 %Row Filter (deprecated)< 1 %- Reference Row Splitter< 1 %
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Table Writer< 1 %- Naive Bayes Learner< 1 %
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K Nearest Neighbor< 1 %PCA< 1 %Random Forest Learner< 1 %- Column Appender< 1 %
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Row Splitter (deprecated)< 1 %- Row Filter (Labs)< 1 %
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Dictionary tagger< 1 %Bag of Words Creator< 1 %- Document Data Extractor< 1 %
Document vector< 1 %Document Vector Adapter< 1 %- Document Vector Hashing< 1 %
Strings To Document< 1 %- Term to Structure< 1 %
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- Object Inserter< 1 %
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Workflows
01_FrequenciesKNIME Hub- 01_FrequenciesKNIME Hub
- 03_Visualizing_Git_Statistics_for_Guided_AnalyticsKNIME Hub
- 05_Named_Entity_Tag_CloudKNIME Hub
- 05_Named_Entity_Tag_CloudKNIME Hub
- Show all 28 workflows
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