Improving the selection of news reports for event coding using ensemble classification
Manual coding of political events from news reports is extremely expensive and time-consuming, whereas completely automatic coding has limitations when it comes to the precision and granularity of the data collected. In this paper, we introduce an alternative strategy by establishing a semi-automati...
Main Authors: | Mihai Croicu, Nils B Weidmann |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2015-11-01
|
Series: | Research & Politics |
Online Access: | https://doi.org/10.1177/2053168015615596 |
Similar Items
-
Introducing the UCDP Candidate Events Dataset
by: Håvard Hegre, et al.
Published: (2020-09-01) -
Ensemble approach for fake news classification using machine learning
by: Pogul Gopi, et al.
Published: (2022-01-01) -
Ensemble machine learning approaches for fake news classification
by: Halyna Padalko, et al.
Published: (2023-12-01) -
Multi-Class Text Classification on Khmer News Using Ensemble Method in Machine Learning Algorithms
by: Raksmey Phann, et al.
Published: (2023-10-01) -
Improving fake news classification using dependency grammar.
by: Kitti Nagy, et al.
Published: (2021-01-01)