Sentiment Analysis on Newspapers

Developement of a newspaper sentiment analyzer in Apache Pig

Summary

The news-sentiment project includes analyzing big data with technologies of distributed data processing. The requirement was to use techniques of data mining in a distributed data processing framework such as “Hadoop”, “Stratosphere”, "Pig". So we choosed a project which was about classification, topic detection and sentiment analysis. The main question of the project is “which newspaper supports a particular party?”.

Get Started

Prerequisites

• Apache Maven 3
• Java >= 1.7

Build from source

git clone https://github.com/news-sentiment/news-sentiment-pig.git
cd news-sentiment-pig
mvn clean package

news-sentiment-pig is now installed in news-sentiment-pig/target

Maven dependency

git clone https://github.com/news-sentiment/news-sentiment-pig.git
cd news-sentiment-pig
mvn clean install

news-sentiment-pig is now installed in your local maven repository.

<dependency>
  <groupId>de.tuberlin.dima</groupId>
  <artifactId>news-sentiment-pig</artifactId>
  <version>0.0.1-SNAPSHOT</version>
</dependency>

License

news-sentiment-pig is licensed under the Apache Software License Version 2.0. For more information please consult the LICENSE file.