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CLI - Class in edu.usc.ir.sentiment.analysis.cmdline

Class for command line use.

CLI() - Constructor for class edu.usc.ir.sentiment.analysis.cmdline.CLI

CMD - Static variable in class edu.usc.ir.sentiment.analysis.cmdline.CLI

contextGenerator - Variable in class opennlp.tools.sentiment.SentimentME

CONTINUE - Static variable in class opennlp.tools.sentiment.SentimentME

create(String[]) - Method in class opennlp.tools.formats.SentimentSampleStreamFactory

Creates a sentiment sample stream factory

createContextGenerator() - Method in class opennlp.tools.sentiment.SentimentFactory

Creates a new context generator.

createEvents(SentimentSample) - Method in class opennlp.tools.sentiment.SentimentEventStream

Creates events.

D

DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.sentiment.SentimentME

DEFAULT_FORMAT - Static variable in class edu.usc.ir.sentiment.analysis.cmdline.CLI

E

edu.usc.ir.sentiment.analysis.cmdline - package edu.usc.ir.sentiment.analysis.cmdline

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getBestSentiment(double[]) - Method in class opennlp.tools.sentiment.SentimentME

Returns the best chosen sentiment for the text predicted on

getContext(String[]) - Method in class opennlp.tools.sentiment.SentimentContextGenerator

Returns the context

getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.sentiment.SentimentContextGenerator

Returns the context

getFactory() - Method in class opennlp.tools.sentiment.SentimentModel

Returns the sentiment factory

getHelp() - Method in class edu.usc.ir.sentiment.analysis.cmdline.SentimentTrainerTool

Returns the help message

getHelp() - Method in class edu.usc.ir.sentiment.analysis.cmdline.TikaTool

Help method

getMaxentModel() - Method in class opennlp.tools.sentiment.SentimentModel

Returns the MaxEntropy model

getSentence() - Method in class opennlp.tools.sentiment.SentimentSample

Returns the sentence used

getSentiment() - Method in class opennlp.tools.sentiment.SentimentSample

Returns the sentiment

getSentimentModel() - Method in class opennlp.tools.sentiment.SentimentModel

Deprecated.

getShortDescription() - Method in class edu.usc.ir.sentiment.analysis.cmdline.SentimentTrainerTool

Returns the short description of the programme

getSupportedTypes(ParseContext) - Method in class org.apache.tika.parser.sentiment.analysis.SentimentParser

Returns the types supported

getTokenizer() - Method in class opennlp.tools.sentiment.SentimentFactory

Returns the tokenizer

getToolNames() - Static method in class edu.usc.ir.sentiment.analysis.cmdline.CLI

Returns all tool names

H

HELLO_MIME_TYPE - Static variable in class org.apache.tika.parser.sentiment.analysis.SentimentParser

I

initialise(URL) - Method in class org.apache.tika.parser.sentiment.analysis.SentimentParser

Initialises a sentiment parser

initialise(File) - Method in class org.apache.tika.parser.sentiment.analysis.SentimentParser

Initialises a sentiment parser

M

main(String[]) - Static method in class edu.usc.ir.sentiment.analysis.cmdline.CLI

main(String[]) - Static method in class edu.usc.ir.sentiment.analysis.cmdline.TikaTool

MODEL - Static variable in class edu.usc.ir.sentiment.analysis.cmdline.SentimentConstant

model - Variable in class opennlp.tools.sentiment.SentimentME

O

opennlp.tools.formats - package opennlp.tools.formats

opennlp.tools.sentiment - package opennlp.tools.sentiment

org.apache.tika.parser.sentiment.analysis - package org.apache.tika.parser.sentiment.analysis

OTHER - Static variable in class opennlp.tools.sentiment.SentimentME

P

parse(InputStream, ContentHandler, Metadata, ParseContext) - Method in class org.apache.tika.parser.sentiment.analysis.SentimentParser

Performs the parse

predict(String) - Method in class opennlp.tools.sentiment.SentimentME

Makes a sentiment prediction

predict2(String[]) - Method in class opennlp.tools.sentiment.SentimentME

Makes a sentiment prediction by calling the helper method

predict2(String[], String[][]) - Method in class opennlp.tools.sentiment.SentimentME

Makes a sentiment prediction

probabilities(String[]) - Method in class opennlp.tools.sentiment.SentimentME

Returns the analysis probabilities

process(String, String) - Method in class edu.usc.ir.sentiment.analysis.cmdline.TikaTool

Performs the analysis

process(InputStream, OutputStream, Metadata) - Method in class edu.usc.ir.sentiment.analysis.cmdline.TikaTool

Performs the analysis

R

read() - Method in class opennlp.tools.sentiment.SentimentSampleStream

Reads the text

registerFactory() - Static method in class opennlp.tools.formats.SentimentSampleStreamFactory

Registers a SentimentSample stream factory

run(String, String[]) - Method in class edu.usc.ir.sentiment.analysis.cmdline.SentimentTrainerTool

Runs the trainer

run(String[]) - Method in class edu.usc.ir.sentiment.analysis.cmdline.TikaTool

Runs the parser and performs analysis

S

SentimentConstant - Class in edu.usc.ir.sentiment.analysis.cmdline

Class with a constant used in TikaTool

SentimentConstant() - Constructor for class edu.usc.ir.sentiment.analysis.cmdline.SentimentConstant

SentimentContextGenerator - Class in opennlp.tools.sentiment

Class for using a Context Generator for Sentiment Analysis.

SentimentContextGenerator() - Constructor for class opennlp.tools.sentiment.SentimentContextGenerator

SentimentEventStream - Class in opennlp.tools.sentiment

Class for creating events for Sentiment Analysis that is later sent to MaxEnt.

SentimentEventStream(ObjectStream<SentimentSample>, SentimentContextGenerator) - Constructor for class opennlp.tools.sentiment.SentimentEventStream

Initializes the event stream.

SentimentFactory - Class in opennlp.tools.sentiment

Class for creating sentiment factories for training.

SentimentFactory() - Constructor for class opennlp.tools.sentiment.SentimentFactory

SentimentME - Class in opennlp.tools.sentiment

Class for creating a maximum-entropy-based Sentiment Analysis model.

SentimentME(SentimentModel) - Constructor for class opennlp.tools.sentiment.SentimentME

Constructor, initialises

SentimentModel - Class in opennlp.tools.sentiment

Class for the basis of the Sentiment Analysis model.

SentimentModel(String, MaxentModel, Map<String, String>, SentimentFactory) - Constructor for class opennlp.tools.sentiment.SentimentModel

Initializes the Sentiment Analysis model.

SentimentModel(URL) - Constructor for class opennlp.tools.sentiment.SentimentModel

Initializes the Sentiment Analysis model.

SentimentModel(File) - Constructor for class opennlp.tools.sentiment.SentimentModel

Initializes the Sentiment Analysis model.

SentimentParser - Class in org.apache.tika.parser.sentiment.analysis

The main class for creating a sentiment analysis parser.

SentimentParser() - Constructor for class org.apache.tika.parser.sentiment.analysis.SentimentParser

Constructor

SentimentSample - Class in opennlp.tools.sentiment

Class for holding text used for sentiment analysis.

SentimentSample(String, String[]) - Constructor for class opennlp.tools.sentiment.SentimentSample

Initializes the current instance.

SentimentSampleStream - Class in opennlp.tools.sentiment

Class for converting Strings through Data Stream to SentimentSample using tokenised text.

SentimentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentiment.SentimentSampleStream

Initializes the sample stream.

SentimentSampleStreamFactory - Class in opennlp.tools.formats

Class for creating a sample stream factory for sentiment analysis.

SentimentSampleStreamFactory(Class<P>) - Constructor for class opennlp.tools.formats.SentimentSampleStreamFactory

The constructor of the class; initialises the factory

SentimentTrainerTool - Class in edu.usc.ir.sentiment.analysis.cmdline

Class for helping train a sentiment analysis model.

SentimentTrainerTool() - Constructor for class edu.usc.ir.sentiment.analysis.cmdline.SentimentTrainerTool

Constructor

START - Static variable in class opennlp.tools.sentiment.SentimentME

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TikaTool - Class in edu.usc.ir.sentiment.analysis.cmdline

Class for launching the parser using Apache Tika.

TikaTool() - Constructor for class edu.usc.ir.sentiment.analysis.cmdline.TikaTool

The constructor

train(String, ObjectStream<SentimentSample>, TrainingParameters, SentimentFactory) - Static method in class opennlp.tools.sentiment.SentimentME

Trains a Sentiment Analysis model.

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validateArtifactMap() - Method in class opennlp.tools.sentiment.SentimentFactory

Validates the artifact map --> nothing to validate.

C D E G H I M O P R S T V