Decision Tree Models
This workflow shows how to import text from a CSV file, convert it to documents, pre-process the documents and show how to visualize a tag cloud based on positive and negative terms.
Topic Detection Analysis - Movie Reviews
Topic detection extracts relevant information elements from unstructured text documents and groups them to define some topics. This workflow illustrates how to perform a topic detection analysis on movie reviews.
Task. Perform topic detection in IMDb reviews.
1 - Data Reading
Read IMDb reviews from a CSV file.
The file is located in TheData/SocialMedia.
2 - Pre-processing
- Classic pre-processing of documents: Punctuation Erasure, Number Filter, N Chars Filter, Stop Word Filter, Case Converter
Double-click the metanode to see the sub-workflow
3 - Topic Detection
Build a list of topics of the pre-processed documents using the Topic-Extractor (Parallel LDA) node. Use four words for each topic and eight topics.
Try this:
1) Go to the configuration window of the Topic Extractor (Parallel LDA)
2) Try to change the number of words and topics you want to detect in the document.
4 - Grouping
The GroupBy node concatenates the keywords for the identified topics.
Nodes
CSV Reader10 ×- Excel Reader9 ×
- Joiner9 ×
- Row Filter9 ×
- Column Filter8 ×
- Column Renamer6 ×
- Constant Value Column6 ×
- GroupBy5 ×
- Number To String5 ×
- RowID5 ×
- Scorer5 ×
Table Reader5 ×- X-Partitioner5 ×
- Concatenate4 ×
- Decision Tree Learner4 ×
- Row Aggregator4 ×
- Rule Engine4 ×
- Bar Chart3 ×
- Cross Joiner3 ×
- Decision Tree Predictor3 ×
- PMML To Cell3 ×
- Sorter3 ×
- Ungroup3 ×
- Value Lookup3 ×
- X-Aggregator3 ×
- Cell Splitter2 ×
- Column Appender2 ×
- Denormalizer (PMML)2 ×
- Duplicate Row Filter2 ×
- Excel Writer2 ×
- Loop End2 ×
- Normalizer2 ×
- Numeric Scorer2 ×
- PMML Writer2 ×
- Partitioning2 ×
- RProp MLP Learner2 ×
- SVM Learner2 ×
- Transpose2 ×
- Association Rule Learner (Borgelt)1 ×
- Case Converter1 ×
- Category To Number1 ×
- Cell Extractor1 ×
- Cell To PMML1 ×
- Cell Updater1 ×
- Column Merger1 ×
- DB Query Reader (Labs)1 ×
- Double Configuration1 ×
- Gradient Boosted Trees Learner (Regression)1 ×
- Gradient Boosted Trees Predictor (Regression)1 ×
- Loop End1 ×
- Math Formula1 ×
- MultiLayerPerceptron Predictor1 ×
- N Chars Filter1 ×
- Normalizer (PMML)1 ×
- Number Filter1 ×
- PMML Predictor1 ×
- PMML Reader1 ×
- Pie Chart1 ×
- Punctuation Erasure1 ×
- Round Double1 ×
- Row to Column Names1 ×
- Rule-based Row Filter1 ×
- SQLite Connector (Labs)1 ×
- SVM Predictor1 ×
- Scatter Plot1 ×
- Simple Regression Tree Learner1 ×
- Simple Regression Tree Predictor1 ×
- Stacked Area Chart1 ×
- Statistics1 ×
- Stop Word Filter1 ×
- String Manipulation1 ×
- String To Number1 ×
- Strings To Document1 ×
- Subset Matcher1 ×
- Table Creator1 ×
- Table Cropper1 ×
- Table Row to Variable1 ×
- Table Splitter1 ×
- Table View1 ×
- Table Writer1 ×
- Topic Extractor (Parallel LDA)1 ×
- k-Means1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Database
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME Excel Support
- FeatureKNIME Itemset Mining
- Show all 11 modules
Links
- No links available