ML-based Sentiment Analysis
There has been no title set for this workflow's metadata.
Sentiment Analysis (Classification) of Documents
This workflow shows how to import text from a CSV file, convert it to documents, preprocess the documents and transform them into numerical document vectors. Finally, a predictive models is trained on the vectors to predict the sentiment class of the documents.
URL: Sentiment Classification of Documents http://www.knime.org/blog/sentiment-analysis
URL: Read more about "Lexicon-based sentiment analysis: A tutorial" https://www.knime.com/blog/lexicon-based-sentiment-analysis
Nodes
- Bag Of Words Creator1 ×
- CSV Reader1 ×
- Case Converter1 ×
- Category To Class1 ×
- Color Manager1 ×
- Column Filter1 ×
- Decision Tree Learner1 ×
- Decision Tree Predictor1 ×
- Document Vector1 ×
- Extract Table Dimension1 ×
- GroupBy1 ×
- Java Edit Variable1 ×
- N Chars Filter1 ×
- Number Filter1 ×
- Partitioning1 ×
- Punctuation Erasure1 ×
- ROC Curve1 ×
- Reference Row Filter1 ×
- Row Filter1 ×
- Scorer1 ×
- Snowball Stemmer1 ×
- Stop Word Filter1 ×
- Strings To Document1 ×
- TF1 ×
- Term To String1 ×
Extensions
Links
- No links available