Requirement AnalysisTHE STAT PROJECTTHE STAT PROJECT

Milestone 1 Report

To design a framework, how many variations we need to protect? How many

functionalities we need to provide for supporting all these variations?

QUESTIONSQUESTIONS

Variation for importing dataset (File Sources)

Variations for importing dataset (File formats)

Variations for importing dataset (Schemas)

Even if we only consider dataset in XML, each dataset may have its own schema.

Reuters dataset example

Simplified approach

One approach: High Level Reader Class, - ReutersReader- RCV1ReaderOnce written, can be shared by community

One approach: High Level Reader Class, - ReutersReader- RCV1ReaderOnce written, can be shared by community

Observation: for the sake of comparison, researchers usually deal with a few famous dataset (e.g., Reuters, RCV-1)

Able to persist and read back memory objects

Able to visualize memory objects

STAT (brief) Domain Model

Note: We ignore texts on connectors for brevity. Some connections are not drawn because of space limitation Note: We ignore texts on connectors for brevity. Some connections are not drawn because of space limitation

STAT framework sample code (conceptual)

Domain Concept: RawCorpus

A collection of RawDocument, supporting collection operations: - Add new RawDocument element - Remove existing RawDocument element - Accessing elements in the collection - …

Domain Concept: RawCorpus

abstract class RawCorpus {List<RawDocument> rawDocuments;RawDocument getDocument(int index);void setDocument(int index, T doc);void removeDocument(int index);

}

Domain Concept: RawDocument

An object with one or more string fields, serving as a non-processed, in-memory representation of a document unit - Like Java beans with getter and setter - All fields must be string type, even for numbers

Domain Concept: RawDocument

class MyRawDocument extends RawDocument {String title;String author;String body;String date;String numOfClicks;String topicType;…

}

abstract class RawDocument {public RawDocument() {}

}

Domain Concept: Processor

An object that processes RawCorpus and produces Corpus. - Linguistic: Tokenizer, Stemmer, StopRemover, PosTagger, … - Machine learning: Feature-specific, document-specific

Domain Concept: Corpus

An object representing a collection of Document for use by machine learning side of framework. This object provides a notion of splits which is commonly used (e.g., train, test)

Domain Concept: Trainer

A representation of a machine learning algorithm, which can learn from a Corpus and produce a Model.

Domain Concept: Model

An object of what machine learning algorithm (i.e., Trainer) creates to store parameters that are "learned" from the data (i.e., Corpus)

Domain Concept: Classifier

An object that maps Documents to target values (label, number, probability). It takes a Corpus and a Model as inputs, and produces a Prediction associated with the Corpus according to the Model.

Domain Concept: Prediction

A collection of target values (label, number, probability) that associate with a Corpus, i.e., a collection of Document.

Domain Concept: Evaluator

An object used for comparing the Prediction against its associated Corpus and generating Evaluation

Domain Concept: Evaluation

A representation of evaluation result given by a Evaluator, in a summarized manner.

THE STAT PROJECTTHE STAT PROJECT

Thanks

CorpusCorpus

ReaderReader ProcessorProcessorRawCorpusRawCorpus

TrainerTrainerModelModel

ClassifierClassifier

PredictionPrediction

EvaluatorEvaluator

EvaluationEvaluation

STAT (brief) Domain Model

Note: We ignore texts on connectors for brevity. Some connections are not drawn because of space limitation Note: We ignore texts on connectors for brevity. Some connections are not drawn because of space limitation

WriterWriter

VocabularyVocabulary

CorpusCorpusReaderReader ProcessorProcessorRawCorpusRawCorpus

TrainerTrainer

ModelModelClassifierClassifierPredictionPredictionEvaluatorEvaluator

EvaluationEvaluation WriterWriter

STAT Domain Model

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CorpusCorpus

ReaderReader

ProcessorProcessor

RawCorpusRawCorpus

TrainerTrainerModelModel

ClassifierClassifier

PredictionPrediction

EvaluatorEvaluator

EvaluationEvaluation

STAT Domain Model

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DocumentDocument

RawDocumentRawDocument