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» Word Importance Discrimination Using Context Information
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MM
2010
ACM
198views Multimedia» more  MM 2010»
14 years 10 months ago
Analyzing and predicting sentiment of images on the social web
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...
Stefan Siersdorfer, Enrico Minack, Fan Deng, Jonat...
IUI
2009
ACM
15 years 6 months ago
Have a say over what you see: evaluating interactive compression techniques
We all encounter many documents on a daily basis that we do not have time to process in their entirety. Nevertheless, we lack good tools to rapidly skim and identify key informati...
Simon Tucker, Steve Whittaker
ICASSP
2008
IEEE
15 years 4 months ago
Exploiting dialogue act tagging and prosodic information for action item identification
An important task for multiparty meeting understanding is extracting action items. Action items are a set of tasks that are agreed on by the participants for execution after the m...
Fan Yang, Gökhan Tür, Elizabeth Shriberg
CAIP
2001
Springer
120views Image Analysis» more  CAIP 2001»
15 years 2 months ago
Texture Feature Extraction and Classification
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, i...
Brijesh Verma, Siddhivinayak Kulkarni
LREC
2010
246views Education» more  LREC 2010»
14 years 11 months ago
Q-WordNet: Extracting Polarity from WordNet Senses
This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide...
Rodrigo Agerri, Ana García-Serrano