Replication Data for: Improving the Selection of News Reports for Event Coding Using Ensemble Classification
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We introduce an automatic classification system to eliminate irrelevant source material for the coding of political event data from global news-wires. Our pipeline relies on a high-performance supervised heterogeneous ensemble classifier working on extremely unbalanced training classes. The output is then supplied to human coders for further information extraction, creating a semi-automatic pipeline.The package includes the software required to train and test the classifier, as well as documentation on how to use it' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["machine learning","protest data","text classification"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We introduce an automatic classification system to eliminate irrelevant source material for the coding of political event data from global news-wires. Our pipeline relies on a high-performance supervised heterogeneous ensemble classifier working on extremely unbalanced training classes. The output is then supplied to human coders for further information extraction, creating a semi-automatic pipeline.The package includes the software required to train and test the classifier, as well as documentation on how to use it' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We introduce an automatic classification system to eliminate irrelevant source material for the coding of political event data from global news-wires. Our pipeline relies on a high-performance supervised heterogeneous ensemble classifier working on extremely unbalanced training classes. The output is then supplied to human coders for further information extraction, creating a semi-automatic pipeline.The package includes the software required to train and test the classifier, as well as documentation on how to use it
machine learning; protest data; text classification