Formation of the Characteristic Word Sets for the Optimization of Information Retrieval Processes

Author

Voloshynovska, Iryna ; Andreychuk, Nadiya

Author_Institution

Dept. of Appl. Linguistics, Lviv Polytech. Nat. Univ., Lviv

fYear

2007

fDate

19-24 Feb. 2007

Firstpage

583

Lastpage

584

Abstract

This paper suggests that the principal component analysis can be applied to the corpus of scientific texts to determine the characteristic set of words revealing the stage of scientific advance. The main words attributed to the progress in applied and fundamental science are extracted and the respective verb sets are formed. The possibility of these sets application in the information retrieval is discussed.

Keywords

information retrieval; natural sciences computing; optimisation; principal component analysis; text analysis; applied science; characteristic word sets formation; fundamental science; information retrieval process; optimization; principal component analysis; scientific text corpus; Conducting materials; Data mining; Information analysis; Information retrieval; Natural language processing; Performance analysis; Personal communication networks; Physics; Principal component analysis; Information retrieval; Principal component; Semantic segmentation; Text corpus;

fLanguage

English

Publisher

ieee

Conference_Titel

CAD Systems in Microelectronics, 2007. CADSM '07. 9th International Conference - The Experience of Designing and Applications of

Conference_Location

Lviv-Polyana

Print_ISBN

966-533-587-0

Type

conf

DOI

10.1109/CADSM.2007.4297663

Filename

4297663