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» Extracting and Ranking Product Features in Opinion Documents
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DOCENG
2006
ACM
16 years 1 days ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
ICDAR
2005
IEEE
15 years 11 months ago
Document Ranking by Layout Relevance
This paper describes the development of a new document ranking system based on layout similarity. The user has a need represented by a set of ”wanted” documents, and the syste...
May Huang, Daniel DeMenthon, David S. Doermann, Ly...
AMR
2005
Springer
128views Multimedia» more  AMR 2005»
15 years 11 months ago
Ranking Invariance Based on Similarity Measures in Document Retrieval
Abstract. To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documen...
Jean-François Omhover, Maria Rifqi, Marcin ...
SEMCO
2008
IEEE
16 years 13 days ago
A Comparative Study of Feature Extraction Algorithms in Customer Reviews
The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate featu...
Liliana Ferreira, Niklas Jakob, Iryna Gurevych
CORIA
2004
15 years 7 months ago
Audiovisual production invariant searching
Information searching in non-textual media is a fundamental point of interest, especially in the audiovisual industry where there is still an important need of tools for manipulati...
Siba Haidar, Philippe Joly, Bilal Chebaro