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SentimentAnalysisParser

Combines Apache OpenNLP and Apache Tika and provides facilities for automatically deriving sentiment from text.

Лицензия

Лицензия
Группа

Группа

edu.usc.ir
Идентификатор

Идентификатор

sentiment-analysis-parser
Последняя версия

Последняя версия

0.1
Дата

Дата
Тип

Тип

jar
Описание

Описание

SentimentAnalysisParser
Combines Apache OpenNLP and Apache Tika and provides facilities for automatically deriving sentiment from text.
Ссылка на сайт

Ссылка на сайт

https://github.com/USCDataScience/SentimentAnalysisParser
Система контроля версий

Система контроля версий

https://github.com/USCDataScience/SentimentAnalysisParser.git

Скачать sentiment-analysis-parser

Имя Файла Размер
sentiment-analysis-parser-0.1.pom
sentiment-analysis-parser-0.1.jar 28 KB
sentiment-analysis-parser-0.1-sources.jar 22 KB
sentiment-analysis-parser-0.1-javadoc.jar 114 KB
Обзор

Как подключить последнюю версию

<!-- https://jarcasting.com/artifacts/edu.usc.ir/sentiment-analysis-parser/ -->
<dependency>
    <groupId>edu.usc.ir</groupId>
    <artifactId>sentiment-analysis-parser</artifactId>
    <version>0.1</version>
</dependency>
// https://jarcasting.com/artifacts/edu.usc.ir/sentiment-analysis-parser/
implementation 'edu.usc.ir:sentiment-analysis-parser:0.1'
// https://jarcasting.com/artifacts/edu.usc.ir/sentiment-analysis-parser/
implementation ("edu.usc.ir:sentiment-analysis-parser:0.1")
'edu.usc.ir:sentiment-analysis-parser:jar:0.1'
<dependency org="edu.usc.ir" name="sentiment-analysis-parser" rev="0.1">
  <artifact name="sentiment-analysis-parser" type="jar" />
</dependency>
@Grapes(
@Grab(group='edu.usc.ir', module='sentiment-analysis-parser', version='0.1')
)
libraryDependencies += "edu.usc.ir" % "sentiment-analysis-parser" % "0.1"
[edu.usc.ir/sentiment-analysis-parser "0.1"]

Зависимости

compile (9)

Идентификатор библиотеки Тип Версия
org.apache.tika : tika-core jar 1.13
org.apache.tika : tika-parsers jar 1.13
org.apache.tika : tika-langdetect jar 1.13
org.apache.tika : tika-batch jar 1.13
org.apache.opennlp : opennlp-tools jar 1.6.0
org.slf4j : slf4j-log4j12 jar 1.7.21
org.slf4j : jul-to-slf4j jar 1.7.21
org.slf4j : jcl-over-slf4j jar 1.7.21
log4j : log4j jar 1.2.17

test (1)

Идентификатор библиотеки Тип Версия
junit : junit jar 4.12

Модули Проекта

Данный проект не имеет модулей.

Sentiment Analysis Parser

A parser performing sentiment analysis that uses the Apache OpenNLP and Apache Tika libraries to perform text analysis on the the Large Movie Review Dataset. Negative and positive reviews were combined together in a file "result", and each review has a "positive" or a "negative" label before it.

Use

How to build Sentiment Analysis Parser

$ cd $HOME/src
$ git clone https://github.com/USCDataScience/SentimentAnalysisParser
$ cd SentimentAnalysisParser
$ mvn install assembly:assembly

How to train a model

$ cd target/sentiment
$ mkdir -p model/org/apache/tika/parser/sentiment/topic/
$ bin/sentiment SentimentTrainer -model model/org/apache/tika/parser/sentiment/topic/en-sentiment.bin -lang en -data ./../../examples/categorical_dataset -encoding UTF-8

The model is written to en-sentiment.bin

How to run the parser

Make sure you are in target/sentiment

$ bin/sentiment Tika -model model/org/apache/tika/parser/sentiment/topic/en-sentiment.bin -o ../../examples/gun-output1 -j ../../examples/gun-ads

Contributors

  • Chris A. Mattmann, JPL
  • Anastasija Mensikova, Trinity College, CT

Credits

This project began as the Google Summer of Code 2016 project of Anastasija Mensikova for Apache Software Foundation under the supervision of Chris Mattmann

License

Apache License, version 2

edu.usc.ir

USC Information Retrieval & Data Science

USC Information Retrieval and Data Science Group

Версии библиотеки

Версия
0.1