TY - GEN
T1 - The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024)
AU - Li, Cheng Te
AU - Ku, Lun Wei
AU - Tsai, Yu Che
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/5/13
Y1 - 2024/5/13
N2 - The field of SocialNLP stands at the confluence of two pivotal domains: natural language processing (NLP) and social computing, offering a multidisciplinary framework for exploring the intersections between these areas. This domain is characterized by its tridirectional focus. First, it endeavors to tackle prevalent challenges within the realm of social computing by leveraging advanced NLP methodologies. Second, it aims to address traditional NLP problems by harnessing the vast and dynamic data available from social networks and social media platforms. Third, SocialNLP is dedicated to identifying and solving emerging issues that lie at the nexus of social computing and NLP. The 12th iteration of the SocialNLP workshop, a hallmark event in this vibrant field, is scheduled to convene at TheWebConf (WWW) 2024. This edition has witnessed the acceptance of nine rigorously peer-reviewed papers, chosen from a competitive pool, reflecting an acceptance ratio of 53.8%. This achievement underscores the high caliber of research and the innovative approaches that the submitted works propose to advance the field of SocialNLP. The organizing committee extends its heartfelt gratitude to all contributing authors for their submissions, to the members of the program committee for their indispensable role in the rigorous review process, and to the workshop chairs for their visionary leadership and dedication. Their collective efforts have been instrumental in fostering an environment of academic excellence and collaboration that continues to drive forward the frontiers of knowledge in the interdisciplinary area of SocialNLP.
AB - The field of SocialNLP stands at the confluence of two pivotal domains: natural language processing (NLP) and social computing, offering a multidisciplinary framework for exploring the intersections between these areas. This domain is characterized by its tridirectional focus. First, it endeavors to tackle prevalent challenges within the realm of social computing by leveraging advanced NLP methodologies. Second, it aims to address traditional NLP problems by harnessing the vast and dynamic data available from social networks and social media platforms. Third, SocialNLP is dedicated to identifying and solving emerging issues that lie at the nexus of social computing and NLP. The 12th iteration of the SocialNLP workshop, a hallmark event in this vibrant field, is scheduled to convene at TheWebConf (WWW) 2024. This edition has witnessed the acceptance of nine rigorously peer-reviewed papers, chosen from a competitive pool, reflecting an acceptance ratio of 53.8%. This achievement underscores the high caliber of research and the innovative approaches that the submitted works propose to advance the field of SocialNLP. The organizing committee extends its heartfelt gratitude to all contributing authors for their submissions, to the members of the program committee for their indispensable role in the rigorous review process, and to the workshop chairs for their visionary leadership and dedication. Their collective efforts have been instrumental in fostering an environment of academic excellence and collaboration that continues to drive forward the frontiers of knowledge in the interdisciplinary area of SocialNLP.
UR - http://www.scopus.com/inward/record.url?scp=85194501619&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85194501619&partnerID=8YFLogxK
U2 - 10.1145/3589335.3641301
DO - 10.1145/3589335.3641301
M3 - Conference contribution
AN - SCOPUS:85194501619
T3 - WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
SP - 1647
EP - 1648
BT - WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
PB - Association for Computing Machinery, Inc
T2 - 33rd ACM Web Conference, WWW 2024
Y2 - 13 May 2024 through 17 May 2024
ER -