Personal Information
Organización/Lugar de trabajo
Other
Ocupación
Head of Research and Development
Sector
Technology / Software / Internet
Sitio web
www.annadivoli.com
Acerca de
My research is in the area of text mining.
I work on developing and evaluating text mining systems - both algorithms and user interfaces. More specifically, in the past I have worked on identifying information for database annotation, entity extraction and entity relations extraction from text, summarization, document clustering and categorization as well as identifying useful features in computer interfaces that allow end users to communicate efficiently with text mining systems. All aim at making the information hunt in electronic documents faster and more efficient.
Other areas I am interested in include knowledge representation and ontology design, the use of crowdsourcing for bi
Etiquetas
text analytics
pingar
information extraction
automatic taxonomy generation
entity extraction
usability
user interface
bioscience literature
natural language processing
artificial intelligence
knowledge management
document catecorization
document classification
document management
sentiment analysis
bioinformatics
user centered design
taxonomy
life sciences
taxt analytics
linked data
text-analytics
taxonomies
user-interfaces
usability testing
open access publications
search engines
Ver más
Presentaciones
(10)Recomendaciones
(4)Mining Unstructured Data:Practical Applications, from the Strata O'Reilly Making Data Work Conference March 2012
Peter Wren-Hilton
•
Hace 12 años
Divoli & Medelyan: HCIR-2011 Presentation
Alyona Medelyan
•
Hace 12 años
A Survey: Taxonomy Building Tools
Rachel Lovinger
•
Hace 15 años
Storytelling the Results of Heuristic Evaluation
UXPA Boston
•
Hace 11 años
Personal Information
Organización/Lugar de trabajo
Other
Ocupación
Head of Research and Development
Sector
Technology / Software / Internet
Sitio web
www.annadivoli.com
Acerca de
My research is in the area of text mining.
I work on developing and evaluating text mining systems - both algorithms and user interfaces. More specifically, in the past I have worked on identifying information for database annotation, entity extraction and entity relations extraction from text, summarization, document clustering and categorization as well as identifying useful features in computer interfaces that allow end users to communicate efficiently with text mining systems. All aim at making the information hunt in electronic documents faster and more efficient.
Other areas I am interested in include knowledge representation and ontology design, the use of crowdsourcing for bi
Etiquetas
text analytics
pingar
information extraction
automatic taxonomy generation
entity extraction
usability
user interface
bioscience literature
natural language processing
artificial intelligence
knowledge management
document catecorization
document classification
document management
sentiment analysis
bioinformatics
user centered design
taxonomy
life sciences
taxt analytics
linked data
text-analytics
taxonomies
user-interfaces
usability testing
open access publications
search engines
Ver más