Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jaebong Yoo"'
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:685-688
Learning sentiment models from short texts such as tweets is a notoriously challenging problem due to very strong noise and data sparsity. This paper presents a novel, collaborative filtering-based approach for sentiment prediction in twitter convers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::158b4a8a9bfdd9c6ce8926a0461085e9
https://doi.org/10.1609/icwsm.v7i1.14461
https://doi.org/10.1609/icwsm.v7i1.14461
Publikováno v:
2012 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::448af51224e369a797b80ed2782c1be9
https://doi.org/10.18260/1-2--20937
https://doi.org/10.18260/1-2--20937
Publikováno v:
2014 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2109ce23a3a80da199a4c12e26ff0024
https://doi.org/10.18260/1-2--22829
https://doi.org/10.18260/1-2--22829
Autor:
Bhumsuk Keam, Chan-Young Ock, Do-Youn Oh, Seung-Tae Kim, Keun-Wook Lee, Sun Young Rha, Changhoon Yoo, John Park, Min Hwan Kim, Sehyun Kim, Dhanusha Sabanathan, Joon Oh Park, Napa Parinyanitikul, Kyu Pyo Kim, Jaebong Yoon, Hyelim Lim, Sangheon Lee, Wooick Jang
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/5009271548a74b489eadc49eed000e3d
Autor:
Jaebong Yoo, Jihie Kim
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 28
We introduce a new application of online dialogue analysis: supporting pedagogical assessment of online Q&A discussions. Extending the existing speech act framework, we capture common emotional expressions that often appear in student discussions, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c92ca170513b09563a1d6423c812a475
https://doi.org/10.1609/aaai.v28i1.8718
https://doi.org/10.1609/aaai.v28i1.8718