Title :
KP-Miner: A Simple System for Effective Keyphrase Extraction
Author :
El-Beltagy, Samhaa R.
Author_Institution :
Dept. of Comput. Sci., Cairo Univ.
Abstract :
Automatic key phrase extraction has many important applications including but not limited to summarization, cataloging/indexing, feature extraction for clustering and classification, and data mining. This paper presents a simple, yet effective algorithm (KP-Miner) for achieving this task. The result of an experiment carried out to investigate the effectiveness of this algorithm is also presented. In this experiment the devised algorithm is applied to six different datasets consisting of 481 documents. The results are then compared to two existing sophisticated machine learning based automatic keyphrase extraction systems. The results of this experiment show that the devised algorithm is comparable to both systems
Keywords :
data mining; learning (artificial intelligence); KP-Miner; automatic key phrase extraction; cataloging; data mining; feature extraction; indexing; machine learning; summarization; Application software; Clustering algorithms; Computer science; Data mining; Feature extraction; Humans; Indexing; Machine learning; Machine learning algorithms; Power system modeling;
Conference_Titel :
Innovations in Information Technology, 2006
Conference_Location :
Dubai
Print_ISBN :
1-4244-0674-9
Electronic_ISBN :
1-4244-0674-9
DOI :
10.1109/INNOVATIONS.2006.301948
