Information Flow Between News Articles: Slovene Media Case Study

author: Jan Chołoniewski, Faculty of Physics, Warsaw University of Technology
published: Nov. 15, 2016,   recorded: October 2016,   views: 1256
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

We present results of a study on usage of text similarity measures based on co-occurrence of words and phrases to classify a relation between a pair of news articles (i.e. no relation, both based on a common source, one based on the other). For each Slovenian article written in Slovene and published online on 27th June 2016, we found the most similar release from the Slovenian Press Agency (STA) database to obtain a list of candidate article-source pairs. Four experts from STA were asked to score the pairs, and their annotations were used to train classifiers and evaluate their accuracy.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: