Title :
A Novel Vector-based Keyword Extracting Tool
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ.
Abstract :
The quality of indexing is important for successful retrieval results. This paper describes a novel keyword extracting tool that is distinguished itself from existing ones by its efficient keyword significance measure. The measure integrates term frequency retrieval characteristics, document collection characteristics, and both the term width and depth distribution characteristics. Experimental results show that the tool achieves satisfactory performance
Keywords :
indexing; information retrieval; depth distribution; document collection; indexing; keyword significance measure; term frequency retrieval; term width; vector-based keyword extracting tool; Data mining; Databases; Filters; Frequency measurement; Indexing; Information analysis; Information technology; Particle measurements;
Conference_Titel :
Information Technology, 2007. ITNG '07. Fourth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-2776-0
DOI :
10.1109/ITNG.2007.14