Class Hierarchy

miopia.util.BinaryTree.BinaryTree
miopia.analyzer.NegationRules.NegationRules
miopia.util.BinaryTree.Node
miopia.analyzer.PsychometricDictionary.PsychometricDictionary: This class is responsible of handling psychometric dictionaries which follow the LIWC format
object: The most base type
- miopia.tagger.AbstractTagger.AbstractTagger: An abstract wrapper to build NLTK-based taggers
  - miopia.tagger.BrillTagger.BrillTagger: Wrapper of the NLTK Brill tagger.
- miopia.adapter.Adapter.Adapter: Adapter is an abstract class which defines the interface for different features Adapter's provided in the package adapter
  - miopia.adapter.CompositeAdapter.CompositeAdapter: CompositeAdapter allows to combine different Adapter's to obtain a global ranking off all features
  - miopia.adapter.MetaDataAdapter.MetaDataAdapter
  - miopia.adapter.RawAdapter.RawAdapter: An abstract class for WEKA adapters for RawCounter
    - miopia.adapter.AbstractedLexiconsAdapter.AbstractedLexiconsAdapter: A WEKA adapter for AbstractedLexiconsCounter
    - miopia.adapter.NGramAdapter.NGramAdapter: A WEKA adapter for NGramCounter
    - miopia.adapter.ScorerAdapter.ScorerAdapter: A WEKA adapter for ScorerCounter
    - miopia.adapter.UnGrammaticalAdapter.UnGrammaticalAdapter: A WEKA adapter for UnGrammaticalCounter
  - miopia.adapter.SintacticAdapter.SintacticAdapter: An abstract class for WEKA adapters for SintacticCounter
    - miopia.adapter.DependencyTripletsAdapter.DependencyTripletsAdapter: A WEKA adapter for DependencyTripletsCounter
    - miopia.adapter.DependencyTypeAdapter.DependencyTypeAdapter: A WEKA adapter for DependencyCounter
    - miopia.adapter.SentimentAdapter.SentimentAdapter: SentimentAdapter allows to obtain sentiment features from src.miope.analyzer.SentimentAnalyzer to then train a src.miope.classifier.ClassifierI
- miopia.analyzer.Analyzer.Analyzer: Analyzer is an abstract class which defines some methods for the SentimentAnalyzer.
  - miopia.analyzer.SentimentAnalyzer.SentimentAnalyzer: Instances of SentimentAnalyzer evaluates SentimentDependencyGraph's of a text, returning a summary in a SentimentInfo object
- miopia.analyzer.AnalyzerConfiguration.AnalyzerConfiguration: AnalyzerConfiguration sets the configuration of a SentimentAnalyzer
- miopia.classifier.WekaClassificationStrategy.AttributeEvaluator
  - miopia.classifier.WekaClassificationStrategy.CfsSubsetEvalAttributeEvaluator
  - miopia.classifier.WekaClassificationStrategy.ChiSquaredAttributeEvaluator
  - miopia.classifier.WekaClassificationStrategy.InformationGainAttributeEvaluator
  - miopia.classifier.WekaClassificationStrategy.PrincipalComponentsAttributeEvaluator
- miopia.analyzer.BackOff.BackOff: This class manages the generalisations (a.k.a as back-off) which make possible to represent tokens as more abstract concepts.
- exceptions.BaseException: Common base class for all exceptions
  - exceptions.Exception: Common base class for all non-exit exceptions.
    - miopia.util.exceptions.DictKeyError.DictKeyError
    - miopia.util.exceptions.FeatureTypeConfigurationException.FeatureTypeConfigurationException: classdocs
    - miopia.util.exceptions.InvalidStrategyException.InvalidStrategyException: classdocs
    - miopia.util.exceptions.LanguageNotSupportedException.LanguageNotSupportedException
    - miopia.util.exceptions.NotFoundSubGraphClassifierException.NotFoundSubGraphClassifierException: classdocs
    - miopia.util.exceptions.UnknownSOException.UnknownSOException: classdocs
- textblob.base.BaseTagger: Abstract tagger class from which all taggers inherit from.
  - textblob_aptagger.taggers.PerceptronTagger: Greedy Averaged Perceptron tagger, as implemented by Matthew Honnibal.
    - miopia.tagger.PerceptronTwitTagger.PerceptronTwitTagger
- miopia.classifier.ClassificationStrategy.ClassificationStrategy: classdocs
  - miopia.classifier.BinaryStrategy.BinaryStrategy: This strategy allows to classify texts such as Positive or Negative
  - miopia.classifier.QuaternaryStrategy.QuaternaryStrategy: This strategy allows to classify texts such as Positive, Negative Neutral (the text merges positive and negative ideas) or None (without any sentiment)
  - miopia.classifier.TernaryStrategy.TernaryStrategy: This strategy allows to classify texts such as Positive, Negative or None (without any sentiment)
  - miopia.classifier.WekaClassificationStrategy.WekaClassificationStrategy: classdocs
    - miopia.classifier.MetaStrategy.MetaStrategy: A wrapper for the meta classifier AttributeSelectedClassifier provided by the WEKA framework
- miopia.classifier.ClassifierI.ClassifierI: classdocs
  - miopia.classifier.MultiLabelClassifier.MultiLabelClassifier: classdocs
  - miopia.classifier.SimpleClassifier.SimpleClassifier: A wrapper for the CLassifierI.
- miopia.classifier.WekaClassificationStrategy.ClassifierWeka
- miopia.util.ConfigurationManager.ConfigurationManager: classdocs
- miopia.analyzer.counter.Counter.Counter: Abstract class which provides the basic operations for the rest of the Counters.
  - miopia.analyzer.counter.CompositeAuxiliaryCounter.CompositeAuxiliaryCounter: This class only provides support for some operations that a CompositeAdapter needs.
  - miopia.analyzer.counter.MetaDataCounter.MetaDataCounter: This class will provide the functionalities to use the metadata of the texts as features for a supervised classifier.
  - miopia.analyzer.counter.RawCounter.RawCounter: An abstract class which provides methods for the Counters which don't need to rely on the SentimentDependencyGraph
    - miopia.analyzer.counter.LexiconCounter.LexiconCounter: Abstract class to manage counters which use external knowledge to obtain features for the supervised classifier.
      - miopia.analyzer.counter.AbstractedLexiconsCounter.AbstractedLexiconsCounter: This counter to manage counters which use external knowledge to obtain features for the supervised classifier.
      - miopia.analyzer.counter.ScorerCounter.ScorerCounter: classdocs
    - miopia.analyzer.counter.NGramCounter.NGramCounter: classdocs
    - miopia.analyzer.counter.UnGrammaticalCounter.UnGrammaticalCounter: This counter counts some ungrammatical phenomena thta may be present in a text.
  - miopia.analyzer.counter.SintacticCounter.SintacticCounter: An abstract class which provides the basic operations for the counters which rely on instances of SentimentDependencyGraph to carry out their analysis.
    - miopia.analyzer.counter.DependencyTripletsCounter.DependencyTripletsCounter: This Counter is responsible of counting dependency triplets present in a SentimentDependencyGraph
    - miopia.analyzer.counter.DependencyTypeCounter.DependencyTypeCounter
    - miopia.analyzer.counter.SentimentCounter.SentimentCounter: This counter does not support additional semantic properties
- nltk.parse.dependencygraph.DependencyGraph: A container for the nodes and labelled edges of a dependency structure.
  - miopia.parser.SentimentDependencyGraph.SentimentDependencyGraph: An extension of the class nltk.parse.dependencygraph.DependencyGraph to include sentiment information
- miopia.analyzer.Dictionary.Dictionary: A class for obtaining the semantic resources provided with MIOPIA
- miopia.adapter.Feature.Feature: classdocs
- miopia.adapter.Adapter.FeatureInfo: This class provides information about a feature for a supervised classifier
- miopia.adapter.Feature.FeatureLevelBackOff: FeatureLevelBackOff defines back off options supported by a FeatureTypeConfiguration.
- miopia.adapter.Feature.FeatureSemanticProperty: SemanticProperty defines a 'surname' to append semantic properties to the name of a features, building a new feature
- miopia.adapter.Feature.FeatureType: FeatureType defines the features supported by the Adapter classes
- miopia.adapter.Feature.FeatureTypeConfiguration: FeatureTypeConfiguration specifies the configuration for a src.miope.adapter.Adapter
- miopia.adapter.Feature.FeatureWekaDataType: FeatureWekaDataType defines the WekaDataTypes supported by this system
- miopia.tagger.InfoTag.InfoTag: Auxiliary structure for saving information of a word tag
- miopia.preparator.LexicalProcessor.LexicalProcessor: classdocs
- miopia.preparator.LexicalSentimentInfo.LexicalSentimentInfo: This class stores auxiliary information about the no preprocessed text that could be useful in next steps
- miopia.preparator.LexicalSentimentInfo.LexicalValenceShifter: It describes the phemonona supported by the class LexicalSentimentInfo
- miopia.analyzer.NegationInfo.NegationInfo: Auxiliary structure for analyzing negation
- miopia.parser.Parser.Parser
  - miopia.parser.Parser.MaltParser: MaltParser Wrapper
  - miopia.parser.Parser.ZparParser: Zpar wrapper
- miopia.classifier.PolarityType.PolarityType: The supported polarity classes by the system
- miopia.preprocessor.PreProcessorI.PreProcessorI: A preprocessing interface for texts
  - miopia.preprocessor.PreProcessor.PreProcessor: Tools for preprocessing a plain text
  - miopia.preprocessor.PreProcessorDecorator.PreProcessorDecorator: classdocs
    - miopia.preprocessor.EmoticonPreProcessor.EmoticonPreProcessor: classdocs
    - miopia.preprocessor.HashTagProcessor.HashTagProcessor: classdocs
    - miopia.preprocessor.InterjectionPreProcessor.InterjectionPreProcessor: classdocs
    - miopia.preprocessor.QuoteAppointmentPreProcessor.QuoteAppointmentPreProcessor: classdocs
    - miopia.preprocessor.StopwordPreProcessor.StopwordPreProcessor: classdocs
    - miopia.preprocessor.TwitterUserNameProcessor.TwitterUserNameProcessor: classdocs
    - miopia.preprocessor.URLPreProcessor.URLPreProcessor: classdocs
- miopia.classifier.WekaClassificationStrategy.SearchMethod
  - miopia.classifier.WekaClassificationStrategy.RankerSearchMethod
  - miopia.classifier.WekaClassificationStrategy.RerankingSearch
- miopia.analyzer.SemanticCategory.SemanticCategory: classdocs
- miopia.parser.SentimentDependencyGraph.SentimentDependencyGraphNodeKeys: The keys of a node of a SentimentDependencyGraph
- miopia.adapter.Feature.SentimentFeature: SentimentFeature defines the features provided by a SentimentAnalyzer
- miopia.analyzer.SentimentInfo.SentimentInfo: SentimentInfo stores relevant information about a branch of a SentimentDependencyGraph
- miopia.parser.SentimentDependencyGraph.SentimentJSONKeys: The keys used to transform a SentimentDependencyGraph to JSON
- miopia.classifier.ServerStrategy.ServerStrategy: ServerStrategy is intented to process an instance at a time.
- miopia.util.TextInfo.TextInfo: classdocs
- miopia.preparator.TextPreparator.TextPreparator: Tools for preparing a text to MaltParser in CoNLL 2006 format
- miopia.parser.TokenDependencyInfo.TokenDependencyInfo: It Saves information of a token coherently with the CoNLL 2006 format
- miopia.util.TokenInfo.TokenInfo: classdocs