About: Developing Sentiment Annotator in UIMA - the Unstructured Management Architecture for Data Mining Applications     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • In this paper we present UIMA - the Unstructured Information Management Architecture, an architecture and software framework for creating, discovering, composing and deploying a broad range of multi-modal analysis capabilities and integrating them with search technologies. We describe the elementary components of the framework and how they are deployed into more complex data mining applications. The contribution is based on our experience in work on the sentiment analysis task for IBM Content Analytics project.
  • In this paper we present UIMA - the Unstructured Information Management Architecture, an architecture and software framework for creating, discovering, composing and deploying a broad range of multi-modal analysis capabilities and integrating them with search technologies. We describe the elementary components of the framework and how they are deployed into more complex data mining applications. The contribution is based on our experience in work on the sentiment analysis task for IBM Content Analytics project. (en)
Title
  • Developing Sentiment Annotator in UIMA - the Unstructured Management Architecture for Data Mining Applications
  • Developing Sentiment Annotator in UIMA - the Unstructured Management Architecture for Data Mining Applications (en)
skos:prefLabel
  • Developing Sentiment Annotator in UIMA - the Unstructured Management Architecture for Data Mining Applications
  • Developing Sentiment Annotator in UIMA - the Unstructured Management Architecture for Data Mining Applications (en)
skos:notation
  • RIV/00216208:11320/13:10194729!RIV14-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 69046
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/13:10194729
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • applications; mining; data; architecture; management; unstructured; uima; annotator; sentiment; developing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [203A49F70A45]
http://linked.open...v/mistoKonaniAkce
  • Donovaly, Slovakia
http://linked.open...i/riv/mistoVydani
  • Donovaly, Slovakia
http://linked.open...i/riv/nazevZdroje
  • ITAT 2013: Information Technologies - Applications and Theory (Workshops, Posters, and Tutorials)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hajič, Jan
  • Veselovská, Kateřina
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • CreateSpace Independent Publishing Platform
https://schema.org/isbn
  • 978-1-4909-5208-6
http://localhost/t...ganizacniJednotka
  • 11320
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software