CyberCan lexicon
<|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:'Text mining has been a dominant approach to extracting useful information from massive unstructured data online. But existing tools for Chinese word segmentation are not ideal for processing social media text data in Cantonese. This project developed CyberCan, a lexicon of contemporary Cantonese based on more than 100 million pieces of internet texts. The details regarding the creation of the lexicon could be found here: https://osf.io/preprints/socarxiv/tyjr' . 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" : ["lexicon"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Text mining has been a dominant approach to extracting useful information from massive unstructured data online. But existing tools for Chinese word segmentation are not ideal for processing social media text data in Cantonese. This project developed CyberCan, a lexicon of contemporary Cantonese based on more than 100 million pieces of internet texts. The details regarding the creation of the lexicon could be found here: https://osf.io/preprints/socarxiv/tyjr' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Text mining has been a dominant approach to extracting useful information from massive unstructured data online. But existing tools for Chinese word segmentation are not ideal for processing social media text data in Cantonese. This project developed CyberCan, a lexicon of contemporary Cantonese based on more than 100 million pieces of internet texts. The details regarding the creation of the lexicon could be found here: https://osf.io/preprints/socarxiv/tyjr
lexicon