Topic Extractor Problem
Topic Models from Reviews
This workflow addresses the problem of review topics.
Block 1 performs the data preparation on review texts. Block 2 applies the LDA algorithm and optimizes its paramters
Block 3 applies the LDA algorithm with optimized paramters and displays the LDA topic probabilities and the average number of stars by topic
Block 4.Estimating importance of topics via linear regression (KNIME) and polynomial regression (R)
Nodes
- Dictionary Filter2 ×
- Number Filter2 ×
- Row Splitter2 ×
- Bag Of Words Creator1 ×
- Case Converter1 ×
- Column Filter1 ×
- Document Data Extractor1 ×
- Excel Reader1 ×
- GroupBy1 ×
- Kuhlen Stemmer1 ×
- N Chars Filter1 ×
- Punctuation Erasure1 ×
- Stop Word Filter1 ×
- Strings To Document1 ×
- Table Creator1 ×
- Term To String1 ×
- Topic Extractor (Parallel LDA)1 ×