TEXT MINING USING KEYPHRASE EXTRACTION
Journal Title: Indian Journal of Computer Science and Engineering - Year 2010, Vol 1, Issue 2
Abstract
Text mining is powerful tool to find useful and needed information from huge data set. For context based text mining, keyphrases are used. Keyphrases provide brief summary about the contents of documents. In document clustering, number of total cluster is not known in advance. In K-means, if respecified number of clusters modified, the precision of each result is also modified. Therefore Kea ,is algorithm for automatically extracting keyphrases from text is used. In this kea algorithm, number of clusters is automatically determined by using extracted keyphrases. Keameans clustering algorithm provide easy and efficient way to extract test document from large quantity of resources. Keyphrase play important role in text indexing, summarization and categorization. Keyphrases are selected manually. Assigning keyphrases manually is tedious process that requires knowledge of subject. Therefore automatic extraction techniques are most useful.
Authors and Affiliations
Shobha S. Raskar , D. M. Thakore
Keywords
Related Articles
- EP ID EP119119
- DOI -
- Views 121
- Downloads 0
COMPARATIVE STUDY OF DIFFERENT APPROACHES FOR EFFICIENT RECTIFICATION UNDER GENERAL MOTION
This paper is concerned with the generating an efficient fundamental matrix for image rectification problem under motion. Computation of fundamental matrix is the information source to estimate the accurate optic flow in...
TRACING EFFICIENT PATH USING WEB PATH TRACING
In the fast improving society, people depend on online purchase of goods than spending time physically. So there are lots of resources emerged for this online buying and selling of materials. Efficient and attractive web...
MRI BRAIN IMAGE SEGMENTATION TECHNIQUES - A REVIEW
Brain tumour is one of the most dangerous disease occurring commonly among human beings. The chances of survival can be increased if the tumour is detected correctly at its early stage. MRI brain imaging technique is wid...
A literature study on clustering the uncertainty data
Clustering is one of the important topics in data mining. The purpose of clustering is to group the similar data items. Clustering the uncertainty data is not an easy task but an essential task in data mining. Uncertain...
Ranking Techniques for Social Networking Sites based on Popularity
Web contains large number of information in it. Extracting necessary information from the web becomes difficult task. Search engines help to retrieve information from the web. But the information retrieval by the search...