TY  - JOUR
A1  - Krüger, K. R.
A1  - Lukowiak, A.
A1  - Sonntag, J.
A1  - Warzecha, Saskia
A1  - Stede, Manfred
T1  - Classifying news versus opinions in newspapers
BT  - linguistic features for domain independence
JF  - Natural language engineering
N2  - 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.
Y1  - 2017
U6  - https://doi.org/10.1017/S1351324917000043
SN  - 1351-3249
SN  - 1469-8110
VL  - 23
SP  - 687
EP  - 707
PB  - Cambridge Univ. Press
CY  - Cambridge
ER  -