Using Word Order in Political Text Classification with Long Short-term Memory Models
<|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:'These are the supplementary files for 'Using Word Order in Political Text Classification with Long Short-term Memory Models' by Charles Chang and Michael Masterson. They contain the code and scripts needed to replicate the paper. They also contain code templates to facilitate the use of LSTM models' . 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" : ["long short-term memory","lstm","machine learning","political science","social media","text classification","weibo"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These are the supplementary files for 'Using Word Order in Political Text Classification with Long Short-term Memory Models' by Charles Chang and Michael Masterson. They contain the code and scripts needed to replicate the paper. They also contain code templates to facilitate the use of LSTM models' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These are the supplementary files for 'Using Word Order in Political Text Classification with Long Short-term Memory Models' by Charles Chang and Michael Masterson. They contain the code and scripts needed to replicate the paper. They also contain code templates to facilitate the use of LSTM models
long short-term memory; lstm; machine learning; political science; social media; text classification; weibo