Aim of this paper is to show how Textual Data Analysis techniques, namely correspondence analysis, in its symmetrical and non-symmetrical version, can improve performance of the LSI retrieval method. Moreover an approach to text retrieval with external information based on PLS regression is introduced.
Contributions of Textual Data Analysis to Text Retrieval / Balbi, Simona; DI MEGLIO, E.. - STAMPA. - (2004), pp. 511-520.
Contributions of Textual Data Analysis to Text Retrieval
BALBI, SIMONA;
2004
Abstract
Aim of this paper is to show how Textual Data Analysis techniques, namely correspondence analysis, in its symmetrical and non-symmetrical version, can improve performance of the LSI retrieval method. Moreover an approach to text retrieval with external information based on PLS regression is introduced.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
