Grant: Canada Research Chairs
Dalhousie University
$150,000.00
Visual Text Analytics
EF 2019-20
Résumé
The Big Data problem is recognized as one of the global, strategic challenges facing the developed societies of today. Mining, understanding, and using text data is at the centre of Big Data: text is ubiquitous, and its free structure presents challenges far beyond those existing for numerical data analytics. This proposal recognizes that Visual Text Analytics (VTA) is the emerging tool to address Big Text Data. VTA proceeds in a cycle: Analyze first, Show the Important, Zoom, Filter, and Analyze further. The proposed research program will address all the elements of this cycle. We will investigate new linguistically-informed text models, representations and transformations, new text analytics techniques (particularly as the data grows in a never-ending stream), and novel ways to visualize the results of text analytics. Emphasis will be on solutions that scale-up and are verified in real-life, industrially-relevant applications.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000228345-2012
Name nom
Matwin, Stan
Department département
Faculty of Computer Science
Organization id
79
Institution établissement
Dalhousie University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2012
Award amount
150000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
NA
Partie
0
Nb partie
NA
Application title
Visual Text Analytics
Keyword
NSERC
Application summary
The Big Data problem is recognized as one of the global, strategic challenges facing the developed societies of today. Mining, understanding, and using text data is at the centre of Big Data: text is ubiquitous, and its free structure presents challenges far beyond those existing for numerical data analytics. This proposal recognizes that Visual Text Analytics (VTA) is the emerging tool to address Big Text Data. VTA proceeds in a cycle: Analyze first, Show the Important, Zoom, Filter, and Analyze further. The proposed research program will address all the elements of this cycle. We will investigate new linguistically-informed text models, representations and transformations, new text analytics techniques (particularly as the data grows in a never-ending stream), and novel ways to visualize the results of text analytics. Emphasis will be on solutions that scale-up and are verified in real-life, industrially-relevant applications.
