DocumentCode
2287755
Title
Alida, a cognitive approach of text categorization
Author
Hoareau, Yann Vigile ; El-Ghali, Adil
Author_Institution
Human & Artificial Cognition Lab., Univ. of Paris 8, St. Denis, France
fYear
2011
fDate
11-15 April 2011
Firstpage
1
Lastpage
6
Abstract
This paper proposes a model of text categorization named Alida, which combines a model of categorization inspired of the classical cognitive models of categorization of Nosofsky, with a semantic space model as system of semantic knowledge representation. The model addresses large-scale text categorization applications in opinion mining in different domains and different languages. The performance in the text-mining campaign DEFT´09 shows that the model can compete with existing Natural Language Processing and Information Retrieval models.
Keywords
data mining; knowledge representation; text analysis; Alida; Nosofsky; classical cognitive models; information retrieval models; natural language processing; opinion mining; semantic knowledge representation; semantic space model; text categorization; text-mining campaign; Context modeling; Humans; Indexing; Mathematical model; Prototypes; Semantics; Text categorization;
fLanguage
English
Publisher
ieee
Conference_Titel
Affective Computational Intelligence (WACI), 2011 IEEE Workshop on
Conference_Location
Paris
Print_ISBN
978-1-61284-083-3
Type
conf
DOI
10.1109/WACI.2011.5953148
Filename
5953148
Link To Document