09 Classification III - solution
Text Mining Course: Preprocessing, Transformation, and Classification Models (bonus solution)
- Supervised learning: Build a sentiment predictor from scratch.
- Supervised learning: Build a sentiment predictor with transfer learning.
URL: Slides KNIME Analytics Platform Text Mining Course https://www.knime.com/form/material-download-registration
Nodes
- Bag Of Words Creator2 ×
- CSV Reader2 ×
- Category To Class2 ×
- Column Filter2 ×
- Partitioning2 ×
- Scorer2 ×
- Shuffle2 ×
- TF2 ×
- BERT Classification Learner1 ×
- BERT Model Selector1 ×
- BERT Predictor1 ×
- Case Converter1 ×
- Decision Tree Learner1 ×
- Decision Tree Predictor1 ×
- Document Vector1 ×
- Document Vector Applier1 ×
Document vector1 ×- GroupBy1 ×
- N Chars Filter1 ×
- Number Filter1 ×
- Punctuation Erasure1 ×
- ROC Curve1 ×
- Reference Row Filter1 ×
- Row Filter1 ×
- Snowball Stemmer1 ×
- Stop Word Filter1 ×
- String Manipulation1 ×
- Strings To Document1 ×
- Term To String1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Javasnippet
- FeatureKNIME Textprocessing
- FeatureKNIME Views
- FeatureRedfield BERT Nodes
Links
- No links available