Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nikki van de Ven"'
Autor:
Frederique Baas, Nikki van de Ven, Alexander Osinga, Olivier Bus, Kim Schouten, Steffie van Loenhout, Lisanne Vrolijk, Flavius Frasincar
Publikováno v:
SAC
34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), 984-992
STARTPAGE=984;ENDPAGE=992;TITLE=34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19)
34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), 984-992
STARTPAGE=984;ENDPAGE=992;TITLE=34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19)
Web 2.0 has caused a boom in user-generated content, which contains a lot of valuable information. Analysis of these natural language data requires advanced machine learning techniques. This research focuses on determining aspect-based sentiment in c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f245029e291c950f02a6c7bbf18a1f47
https://doi.org/10.1145/3297280.3297377
https://doi.org/10.1145/3297280.3297377
Autor:
Alexander Osinga, Nikki van de Ven, Lisanne Vrolijk, Frederique Baas, Flavius Frasincar, Kim Schouten, Steffie van Loenhout, Olivier Bus
Publikováno v:
17th International Conference on Web Information Systems Engineering (WISE 2016), 10042, 35-42
Web Information Systems Engineering – WISE 2016 ISBN: 9783319487427
WISE (2)
Web Information Systems Engineering – WISE 2016 ISBN: 9783319487427
WISE (2)
With its ever growing amount of user-generated content, the Web has become a trove of consumer information. The free text format in which most of this content is written, however, prevents straightforward analysis. Instead, natural language processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e10cafb4ed1123ebc6a2eccd7da38949
https://doi.org/10.1007/978-3-319-48743-4_3
https://doi.org/10.1007/978-3-319-48743-4_3