TextFlows documentation

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: Convert Corpus to XML String
    • Widget: Convert XML String to Corpus
    • Widget: Get Plain Texts
    • Widget: Load Document Corpus From File
    • Widget: Load Document Corpus From String
  • 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
  • Widget: Triplet Extraction Hub
• Category Document Corpus
  • Category Latino
    • Widget: Display Document Corpus
    • Widget: Statistics
    • Widget: Extract Feature
    • Widget: Add Feature
    • Widget: Add Computed Feature
    • Widget: Add Set Feature
    • Widget: Split
    • Widget: Extract Documents
    • Widget: Merge Corpora
  • 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 Latino
    • Category Advanced
      • Widget: Split Sentences Hub (Text)
      • Widget: Tokenizer Hub (Text)
    • Widget: Max Entropy Sentence Splitter
    • Widget: Split Sentences Hub
    • Widget: Max Entorpy Tokenizer
    • Widget: Unicode Tokenizer
    • Widget: Regex Tokenizer
    • Widget: Simple Tokenizer
    • Widget: Tokenizer Hub
  • Category Nltk
    • Widget: Line Tokenizer
    • Widget: Regex Tokenizer
    • Widget: S-Expression Tokenizer
    • Widget: Simple Tokenizer
    • Widget: Stanford Tokenizer
    • Widget: Text Tiling Tokenizer
    • Widget: Punkt Sentence Tokenizer
    • Widget: Treebank Word Tokenizer
  • Widget: Tokenizer Hub
• Category POS Tagging
  • Category Latino
    • Category Advanced
      • Widget: POS Tagger Hub (Text)
    • Widget: Max Entropy POS Tagger
  • 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 Latino
    • Category Advanced
      • Widget: Construct BOW Model (Text)
      • Widget: Get Terms
      • Widget: Process New Documents (Text)
      • Widget: Create Term Dataset
    • Widget: Construct BOW Model and Dataset
    • Widget: Parse Document Corpus
    • Widget: Get Vocabulary Table
    • Widget: Create Dataset
    • Widget: Construct BOW Model
  • Widget: Construct BoW Dataset and BoW Model Constructor
  • Widget: Construct BoW Model Constructor
  • Widget: Create BoW Dataset using the BoW Model Constructor
• Category Chunking
  • Category Nltk
    • Widget: N-gram Chunker
    • Widget: Regex Chunker
  • Widget: Chunking Hub
  • Widget: Extract Annotations from IOB tags
• Category Stemming
  • Category Latino
    • Category Advanced
      • Widget: Stemming Tagger Hub (Text)
    • Widget: Lemma Tagger LemmaGen
    • Widget: Stem Tagger Snowball
    • Widget: Stemming Tagger Hub
  • Category Nltk
    • Widget: ISRI Stemmer
    • Widget: Regex Stemmer
    • Widget: RSLP Stemmer
    • Widget: Snowball Stemmer
    • Widget: Default Lemmatizer
    • Widget: Lemmagen Lemmatizer
    • Widget: Pattern Lemmatizer
    • Widget: Pattern Porter Stemmer
    • Widget: WordNet Lemmatizer
    • Widget: Lancaster Stemmer
    • Widget: Porter Stemmer
  • Widget: Lemmatizer Evaluator
  • Widget: Stem/Lemma Tagger Hub
• Category Chunking
  • Widget: Chunking Hub
  • Widget: Classifier based parser
  • Widget: Regex parser
• Category Dataset
  • Category Latino
    • Widget: Add Labels
    • Widget: Extract Labels
    • Widget: Remove Labels
    • Widget: Split
    • Widget: Split to Predefined Sets
    • Widget: Dataset to Object
    • Widget: Object to Dataset
  • Widget: Add Labels
• Category Stop Words
  • Category Latino
    • Category Advanced
      • Widget: Stop Word Tagger Hub (Text)
    • Widget: Stop Word Sets
    • Widget: Stop Word Tagger
    • Widget: Stop Word Tagger Hub
  • Category Nltk
    • Widget: Stop Word Tagger
  • Widget: Stop Word Tagger Hub
• Category Similarity Matrix
  • Category Latino
    • Widget: Calculate Similarity Matrix
    • Widget: Convert Matrix to Table
  • Widget: Calculate Similarity Matrix
• Category Clustering
  • Category Latino
    • Widget: KMeans Clusterer
    • Widget: KMeans Fast Clusterer
    • Widget: Hierarchical Bisecting Clusterer
    • Widget: Clustering Results Info
    • Widget: View Clusters
  • Category Scikit
    • Widget: k-Means
  • Widget: Clustering Hub
• 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
    • Widget: Naive Bayes Classifier
  • Category Scikit
    • Widget: Decision Tree Classifier
    • Widget: Gaussian Naive Bayes Classifier
    • Widget: k-Nearest Neighbours Classifier
    • Widget: Logistic regression Classifier
    • Widget: Multinomial Naive Bayes Classifier
    • Widget: SVM Classifier
    • Widget: SVM Linear Classifier
  • Widget: Apply Classifier Hub
  • Widget: Train Classifier Hub
  • Widget: Extract Classifier Name
  • Widget: Extract Actual and Predicted Values
• Category Lexicology
  • Category Controlled Vocabularies
    • Widget: MeSH vocabulary builder
• Category Literature Based Discovery
  • Category Heuristic Calculation
    • Widget: Exclude Terms that Appear in One Domain Only
    • Widget: Calculate Term Heuristics Scores
    • Widget: Actual and Predicted Values
  • 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
    • Widget: Explore in CrossBee
• Category Helpers
  • Category Tagging
    • Widget: Condition Tagger
  • 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 Noise Filters
    • Widget: Classification Filter
    • Widget: Matrix Factorization Filter
    • Widget: Saturation Filter
  • Widget: HARF
  • Widget: NoiseRank
• 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)
  • Category Column charts
    • Widget: Column chart
  • Category Curve charts
    • Widget: Lift curves
    • Widget: ROC curves
    • Widget: ROC hull curves
    • Widget: PR curves
    • Widget: Cost curves
    • Widget: Kendall curves
    • Widget: Rate driven curves
    • Widget: Related results table
  • Category Scatter charts
    • Widget: ROC space
    • Widget: PR space
  • Category Utilities
    • Widget: Prepare performance curve data