Sentiment_Analysis_Training
There has been no title set for this workflow's metadata.
Sentiment Analysis with LSTM - Training
This workflow shows how to train an LSTM neural network for text classification based on the example of sentiment analysis.
Nodes
- Dict Replacer (2 In-Ports)5 ×
- Document Data Extractor5 ×
- Strings To Document5 ×
- Column Filter4 ×
- Math Formula (Variable)4 ×
- Integer Configuration3 ×
- Missing Value3 ×
- String Manipulation3 ×
- Case Converter2 ×
- Cell Splitter2 ×
- Counter Generation2 ×
- Create Collection Column2 ×
- N Chars Filter2 ×
- Number Filter2 ×
- Number To String2 ×
- Punctuation Erasure2 ×
- Snowball Stemmer2 ×
- Stop Word Filter2 ×
- Unique Term Extractor2 ×
- Bag Of Words Creator1 ×
- Concatenate1 ×
- Constant Value Column1 ×
- GroupBy1 ×
- Integer Input1 ×
- Joiner1 ×
- Keras Dense Layer1 ×
- Keras Embedding Layer1 ×
- Keras Input Layer1 ×
- Keras LSTM Layer1 ×
- Keras Network Executor1 ×
- Keras Network Learner1 ×
- Keras Network Writer1 ×
- Number To String1 ×
- Partitioning1 ×
- Row Splitter1 ×
- Rule Engine1 ×
- Scorer1 ×
- String To Number1 ×
- Table Reader1 ×
- Table Writer1 ×
- Term To String1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Data Generation
- FeatureKNIME Deep Learning - Keras Integration
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- Show all 7 modules
Links
- No links available