This paper is published in Volume-4, Issue-3, 2018
Area
Big Data
Author
Soniya Joy, Neena Joseph
Org/Univ
Mangalam College of Engineering, Ettumanoor, Kerala, India
Pub. Date
12 June, 2018
Paper ID
V4I3-1775
Publisher
Keywords
Query facets, Text mining, Multi-faceted queries, Knowledgebase

Citationsacebook

IEEE
Soniya Joy, Neena Joseph. Automatically mining query facet from search results using text mining algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Soniya Joy, Neena Joseph (2018). Automatically mining query facet from search results using text mining algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Soniya Joy, Neena Joseph. "Automatically mining query facet from search results using text mining algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

A query facet can be considered as a single word or multiple words which summarize and describe that query. Query facets may provide direct information that users are seeking. The existing algorithms for generating query facet can be used by extracting the frequent list in search results. The coverage of facet item must be limited because the only small number of search results can be used. In order to solve this kind of problem in the proposed system uses the format of the list is more user-friendly. Query facet is analyzing the text query the query facet provides useful knowledge about a query. In existing algorithms are used the coverage of facet item must be limited in order to solve this kind of problem propose an algorithm text mining and use the knowledge base to improve the quality and the coverage of facet item. Text Mining algorithms are used to extract the relevant information from available text.