Classifying news versus opinions in newspapers: Linguistic features for domain independence
Katharina Krüger, Anna Łukowiak, Jonathan Sonntag, S. WARZECHA, Manfred Stede · Natural Language Engineering · 2017
Abstract Newspaper text can be broadly divided in the classes ‘opinion’ (editorials, commentary, letters to the editor) and ‘neutral’ (reports). We describe a classification system for performing this separation, which uses a set of linguistically motivated features. Working with various English newspaper corpora, we demonstrate that it significantly outperforms bag-of-lemma and PoS-tag models. We conclude that the linguistic features constitute the best method for achieving robustness against change of newspaper or domain.