Replication Data for: Affective News: The Automated Coding of Sentiment in Political Texts
<|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:'This dataset includes human codes for the sentiment of news content.  900 news stories were coded by three human coders. Results were used to test the accuracy of the Lexicoder Sentiment Dictionary in Young & Soroka, Affective News' . 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" : ["news content","sentiment analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset includes human codes for the sentiment of news content.  900 news stories were coded by three human coders. Results were used to test the accuracy of the Lexicoder Sentiment Dictionary in Young & Soroka, Affective News' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset includes human codes for the sentiment of news content.  900 news stories were coded by three human coders. Results were used to test the accuracy of the Lexicoder Sentiment Dictionary in Young & Soroka, Affective News
news content; sentiment analysis