TextFlows documentationΒΆ
TextFlows is a special fork of the ClowdFlows project focused on the workflows and widgets of the EU project Text.
A list of widget descriptions:
- Category Data In/Out
- Category Latino
- Widget: Get Plain Texts
- Widget: Load Document Corpus
- Widget: Load Document Corpus From String
- Widget: Load PTB Corpus
- Widget: PTB To ADC Converter
- Widget: Search with Bing
- Widget: Crawl URL links
- Widget: Search with Faroo
- Widget: Load Document Corpus from MySQL
- Widget: Load Document Corpus From File
- Category Triplet Extraction
- Category Document Corpus
- Category Latino
- Widget: Add Feature
- Widget: Display Document Corpus
- Widget: Extract Documents
- Widget: Extract Feature
- Widget: Merge Corpora
- Widget: NLTK Document Corpus
- Widget: Split
- Widget: Statistics
- Widget: Add Computed Document Features
- Widget: Add Computed Token Features
- Widget: Extract ADC Name
- Widget: Extract NLTK Corpus Name
- Category Tokenization
- Category POS Tagging
- Category Latino
- Category Nltk
- Widget: CRF POS tagger
- Widget: NLP4J POS tagger
- Widget: NLTK Corpus to ADC Format
- Widget: NLTK maxent treebank tagger
- Widget: NLTK perceptron tagger
- Widget: Perceptron POS tagger
- Widget: Stanford POS tagger
- Widget: TNT POS tagger
- Widget: Tree Tagger
- Widget: POS Affix Tagger
- Widget: POS Brill’s rule-based Tagger
- Widget: POS Classifier-based Tagger
- Widget: POS Default Tagger
- Widget: POS N-gram Tagger
- Widget: Display Annotation Statistics
- Widget: POS Tagger Evaluator
- Widget: POS Tagger Hub
- Widget: Extract POS Tagger Name
- Category Bag of Words
- Category Chunking
- Category Stemming
- Category Chunking
- Category Dataset
- Category Stop Words
- Category Similarity Matrix
- Category Clustering
- Category Classification
- Category Latino
- Widget: Nearest Centroid Classifier
- Widget: Naive Bayes Classifier
- Widget: SVM Binary Classifier
- Widget: SVM Multiclass Fast Classifier
- Widget: Majority Classifier
- Widget: Maximum Entropy Classifier
- Widget: Maximum Entropy Fast Classifier
- Widget: Knn Classifier
- Widget: Knn Fast Classifier
- Widget: Accuracy Claculation
- Widget: Cross Validation
- Widget: Cross Validation (Predefined Splits)
- Widget: Multiple Splits Validation
- Widget: Predict Classification
- Widget: Prediction Info
- Widget: View Classifications
- Category Nltk
- Category Scikit
- Widget: Apply Classifier Hub
- Widget: Train Classifier Hub
- Widget: Extract Classifier Name
- Widget: Extract Actual and Predicted Values
- Category Latino
- Category Lexicology
- Category Literature Based Discovery
- Category Heuristic Calculation
- Category Heuristic Specification
- Widget: Frequency-based heuristics
- Widget: TF-IDF-based heuristics
- Widget: Similarity-based heuristics
- Widget: Outlier-based heuristics
- Widget: Banded matrix-based heuristics
- Widget: Outlier-based heuristic
- Widget: Heuristic Maximum
- Widget: Heuristic Minimum
- Widget: Heuristic Normalization
- Widget: Heuristic Sum
- Widget: Ensemble Average Position
- Widget: Ensemble Heuristic Vote
- Category Term ranking and Exploration
- Category Helpers
- Category Tagging
- Widget: Advanced Object Viewer
- Widget: Random Cross Validation Sets
- Widget: Random Sequential Validation Sets
- Widget: Advanced Object to String Converter
- Widget: C#.NET Snippet
- Widget: Display Table
- Widget: Get Multi Set Indexes
- Widget: Flatten String Hierarchy
- Widget: Generate Integer Range
- Widget: Python Snippet
- Widget: Split Object
- Category Noise Handling
- Category Performance Evaluation
- Widget: Aggregate Detection Results
- Widget: Classification statistics
- Widget: Evaluate Detection Algorithms
- Widget: Evaluate Repeated Detection
- Widget: Evaluation Results to 2d Table
- Widget: Evaluation Results to Table
- Widget: Performance Chart
- Widget: VIPER: Visual Performance Evaluation
- Widget: Extract Actual and Predicted features
- Category Visual performance evaluation (ViperCharts)