Replication Data for:  Predicting Partisan Responsiveness: A Probabilistic Text Mining Time-Series Approach
<|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:'Replication code and data for: Lenka Bustikova, David Siroky, Saud Alashri, Sultan Alzahrani. Predicting Partisan Responsiveness: A Probabilistic Text Mining Time-Series Approach. Political Analysis' . 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" : ["automated content analysis","forecasting","natural language processing","polarization","political parties","probabilistic topic modeling","sparse learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Replication code and data for: Lenka Bustikova, David Siroky, Saud Alashri, Sultan Alzahrani. Predicting Partisan Responsiveness: A Probabilistic Text Mining Time-Series Approach. Political Analysis' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Replication code and data for: Lenka Bustikova, David Siroky, Saud Alashri, Sultan Alzahrani. Predicting Partisan Responsiveness: A Probabilistic Text Mining Time-Series Approach. Political Analysis
automated content analysis; forecasting; natural language processing; polarization; political parties; probabilistic topic modeling; sparse learning