Document Similarity Prediction
This application is a simple example on how to use the Text Processing Components.
The first step is to search for PubMed documents. Afterwards the documents are preprocessed and the Document Similarity Learner and Predictor are used to find similar documents. The view shows the documents and their associated similarity score.
Nodes
- CASE Switch Data (End)9 ×
- CASE Switch Data (Start)9 ×
- Boolean Configuration8 ×
- Column Rename8 ×
- Column Selection Configuration8 ×
- Breakpoint6 ×
- Double Configuration5 ×
- Integer Configuration4 ×
Table Row to Variable4 ×- Column Filter3 ×
- Merge Variables3 ×
- Missing Value3 ×
- String Manipulation (Variable)3 ×
- Table Creator3 ×
- Bag Of Words Creator2 ×
- Case Converter2 ×
- Cell Replacer2 ×
- Create Temp Dir2 ×
- DF2 ×
- Document Grabber2 ×
- Frequency Filter2 ×
- Group Loop Start2 ×
- Loop End2 ×
- Merge Variables2 ×
- N Chars Filter2 ×
- Normalizer2 ×
- Punctuation Erasure2 ×
- Recursive Loop End (2 ports)2 ×
- Recursive Loop Start (2 ports)2 ×
- Reference Row Filter2 ×
- Row Splitter2 ×
- Single Selection Configuration2 ×
- Snowball Stemmer2 ×
- Split Collection Column2 ×
- Stop Word Filter2 ×
- String Configuration2 ×
- Tika Language Detector2 ×
- Color Manager1 ×
- Document Vector1 ×
- Document Vector Applier1 ×
- GroupBy1 ×
- Joiner1 ×
- Keygraph Keyword Extractor1 ×
- Rule Engine1 ×
- Similarity Search1 ×
- Sorter1 ×
- Tile View (JavaScript)1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Distance Matrix
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Javasnippet
- FeatureKNIME Quick Forms
- Show all 6 modules
Links
- No links available