Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Neal R. Lewis"'
Autor:
Neal R. Lewis, Doug Burdick, Alexandre V. Evfimievski, Scott Rickards, Lucian Popa, Peter Williams, Rajasekar Krishnamurthy
Publikováno v:
DSMM
There is a significant amount of "public" unstructured content available that is centered around the financial performance and counterparty relationships of a wide range of organizations, including private and public companies, governments, and publi
Autor:
Cartic Ramakrishnan, Anni R. Coden, Steve Welch, Daniel Gruhl, Neal R. Lewis, Pablo N. Mendes, Meena Nagarajan
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319120232
SemWebEval@ESWC
SemWebEval@ESWC
We have developed a prototype for sentiment analysis that is able to identify aspects of an entity being reviewed, along with the sentiment polarity associated to those aspects. Our approach relies on a core ontology of the task, augmented by a workb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe11367c6d07dc3946c330e5515f02e
https://doi.org/10.1007/978-3-319-12024-9_4
https://doi.org/10.1007/978-3-319-12024-9_4
Autor:
Clemens Drews, Alfredo Alba, Meena Nagarajan, Pablo N. Mendes, Steve Welch, Kau Chris, Daniel Gruhl, Neal R. Lewis
Publikováno v:
Web Information Systems Engineering – WISE 2014 ISBN: 9783319117454
WISE (2)
WISE (2)
Within social networks, certain messages propagate with more ease or attract more attention than others. This effect can be a consequence of several factors, such as topic of the message, number of followers, real-time relevance, person who is sendin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cd4ed602c10e7781efa13f027763c00
https://doi.org/10.1007/978-3-319-11746-1_2
https://doi.org/10.1007/978-3-319-11746-1_2
Publikováno v:
HISB
Although structured electronic health records are becoming more prevalent, much information about patient health is still recorded only in unstructured text. """"Understanding"""" these texts has been a focus of natural language processing research f
Publikováno v:
HISB
Family history is an important part of the clinical record. Automatically extracting family history from clinical reports requires an understanding of how clinicians describe family history as well as an understanding of how they discuss diseases. We