Dataset accompanying the paper
Getting the Agenda Right: Measuring Media Agenda using Topic Models

1 Description

The dataset contains preprocessed news articles, a list of feed URLs from which the articles were downloaded and a list of themes describing article topics.
The dataset accompanies the paper:

Damir Korenčić, Strahil Ristov, Jan Šnajder (2015). Getting the Agenda Right: Measuring Media Agenda using Topic Models
Proceedings of the Topic Models: Post-Processing and Applications Workshop
TM’15, October 19, 2015, Melbourne, Australia

The paper describes a method for measuring the media agenda (a set of issues of interest).
First a number of topic models is trained with the corpus articles, then the topics are labeled with themes, conceptual topics that facilitate issue definition and measurment.
After that, a list of seed words is defined for each issue and customized topic models with topics corresponding to the issues are built and used to tag the document with issues.
Finally, experiments with document taggers are performed. The experiments evaluate tagging performance and compare taggers based on topic models with supervised taggers.

Should you decide to use the dataset, please cite the paper. The BibTeX format is:

@InProceedings{korencic2015agenda,
  title={Getting the Agenda Right: Measuring Media Agenda using Topic Models Dataset},
  author={Koren{\v c}i{\' c}, Damir and Ristov, Strahil and {\v S}najder, Jan},
  booktitle={Topic Models: Post-Processing and Applications Workshop},
  year={2015},
  pages={in press}
}

2 Dataset

Corpus