Grant: Engage Grants Program
University of Prince Edward Island
$24,719.00
Identifying and Verifying the Potential of Sales Leads from Social Media using Crowdsourcing
EF 2014-15
Résumé
nGauge is a Canadian company incorporated in September 2009 and headquartered in Moncton, NewBrunswick. nGague develops technology to identify sales leads from social networking sites on the Web. Theircurrent patent pending technology allows them to automatically and rapidly identify sales leads among themillions of publicly posted messages on social networking websites such as Twitter. Despite the success ofnGauge's current technology, computational approaches (including intelligent filtering, classification, semanticanalysis, natural language processing and machine learning) often identify messages that are not goodcandidates for sales leads. Due to the subtleties of human language, computational analysis techniques cannotidentify potential sales leads with 100% accuracy. This means a secondary step, where humans assess whetheror not a message is a genuine sales lead, needs to be incorporated before a sales lead can be forwarded to apaying client. To make human assessments both timely and cost-effective, we will investigate the use ofworkers from existing crowd sourcing services to perform microwork tasks, where potential sales leads arerapidly assessed on an ongoing basis. In this project we will build a web platform that will allow nGauge topipe potential sales leads, identified by their current technology, through human raters working throughcrowdsourcing services. The developed technology will allow sales leads to be vetted in a timely and costeffective manner.
Programme
Engage Grants Program
Bénéficiaire
Emplacement
Prince Edward Island, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
466258-2014
Name nom
Bateman, Scott
Department département
Computer Science and Information Technology
Organization id
88
Institution établissement
University of Prince Edward Island
Province en
Prince Edward Island
Province fr
?le-du-Prince-Édouard
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2014
Award amount
24719
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1551
Committee name en
Atlantic Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Atlantique
Area of application code
900
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Commercial services
Area of application fr
Services commerciaux
Research subject code
2709
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Other computing methods
Research subject fr
Autres méthodes informatiques
Partie
1
Nb partie
1
Application title
Identifying and Verifying the Potential of Sales Leads from Social Media using Crowdsourcing
Keyword
NSERC
Application summary
nGauge is a Canadian company incorporated in September 2009 and headquartered in Moncton, NewBrunswick. nGague develops technology to identify sales leads from social networking sites on the Web. Theircurrent patent pending technology allows them to automatically and rapidly identify sales leads among themillions of publicly posted messages on social networking websites such as Twitter. Despite the success ofnGauge's current technology, computational approaches (including intelligent filtering, classification, semanticanalysis, natural language processing and machine learning) often identify messages that are not goodcandidates for sales leads. Due to the subtleties of human language, computational analysis techniques cannotidentify potential sales leads with 100% accuracy. This means a secondary step, where humans assess whetheror not a message is a genuine sales lead, needs to be incorporated before a sales lead can be forwarded to apaying client. To make human assessments both timely and cost-effective, we will investigate the use ofworkers from existing crowd sourcing services to perform microwork tasks, where potential sales leads arerapidly assessed on an ongoing basis. In this project we will build a web platform that will allow nGauge topipe potential sales leads, identified by their current technology, through human raters working throughcrowdsourcing services. The developed technology will allow sales leads to be vetted in a timely and costeffective manner.