TY - GEN
T1 - Jujeop
T2 - 9th International Workshop on Natural Language Processing for Social Media, SocialNLP 2021
AU - Oh, Soyoung
AU - Kim, Jisu
AU - Lee, Seungpeel
AU - Park, Eunil
N1 - Publisher Copyright:
© SocialNLP 2021 Natural Language Processing for Social Media
PY - 2021
Y1 - 2021
N2 - Jujeop is a way for K-pop fans to express their love for the K-pop stars they adore by creating a type of Korean pun through unique comments in Youtube videos that feature those Kpop stars. One of the unique characteristics of Jujeop is its use of exaggerated expressions to compliment K-pop stars, which contain or lead to humor. Based on this characteristic, Jujeop can be separated into four distinct types, with their own lexical collocations: (1) Fragmenting words to create a twist, (2) Homophones and homographs, (3) Repetition, and (4) Nonsense. Thus, the current study defines the concept of Jujeop and manually annotates the 8.6K comments into one of the four Jujeop types. With the given annotated corpus, this study presents distinctive characteristics of Jujeop comments compared to the other comments by classification task. Moreover, with the clustering approach, we proposed a structural dependency within each Jujeop type. We have made our dataset publicly available for future research of Jujeop expressions.
AB - Jujeop is a way for K-pop fans to express their love for the K-pop stars they adore by creating a type of Korean pun through unique comments in Youtube videos that feature those Kpop stars. One of the unique characteristics of Jujeop is its use of exaggerated expressions to compliment K-pop stars, which contain or lead to humor. Based on this characteristic, Jujeop can be separated into four distinct types, with their own lexical collocations: (1) Fragmenting words to create a twist, (2) Homophones and homographs, (3) Repetition, and (4) Nonsense. Thus, the current study defines the concept of Jujeop and manually annotates the 8.6K comments into one of the four Jujeop types. With the given annotated corpus, this study presents distinctive characteristics of Jujeop comments compared to the other comments by classification task. Moreover, with the clustering approach, we proposed a structural dependency within each Jujeop type. We have made our dataset publicly available for future research of Jujeop expressions.
UR - https://www.scopus.com/pages/publications/85125235982
M3 - Conference contribution
AN - SCOPUS:85125235982
T3 - SocialNLP 2021 - 9th International Workshop on Natural Language Processing for Social Media, Proceedings of the Workshop
SP - 170
EP - 177
BT - SocialNLP 2021 - 9th International Workshop on Natural Language Processing for Social Media, Proceedings of the Workshop
A2 - Ku, Lun-Wei
A2 - Li, Cheng-Te
PB - Association for Computational Linguistics (ACL)
Y2 - 10 June 2021
ER -