TED and YouTube Video Dataset
<|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:'When modelling for the social we need to consider more than one medium. Little is known as to how platform community characteristics shape the discussion and how communicators could best engage each community, taking into consideration these characteristics. In this dataset, we consider comments on TED videos featuring roboticists, shared at TED.com and YouTube. The textual comments were then subjected to analysis via the Linguistic Inquiry and Word Count tool (LIWC)' . 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" : ["Human-centered computing, robotics, emotional tone, social media"]} <|eot_id|>
 Here is the Description of a dataset. Description:'When modelling for the social we need to consider more than one medium. Little is known as to how platform community characteristics shape the discussion and how communicators could best engage each community, taking into consideration these characteristics. In this dataset, we consider comments on TED videos featuring roboticists, shared at TED.com and YouTube. The textual comments were then subjected to analysis via the Linguistic Inquiry and Word Count tool (LIWC)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
When modelling for the social we need to consider more than one medium. Little is known as to how platform community characteristics shape the discussion and how communicators could best engage each community, taking into consideration these characteristics. In this dataset, we consider comments on TED videos featuring roboticists, shared at TED.com and YouTube. The textual comments were then subjected to analysis via the Linguistic Inquiry and Word Count tool (LIWC)
Human-centered computing, robotics, emotional tone, social media