Survey on Clustering Algorithms for Sentence Level Text
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 10, Issue 2
Abstract
Clustering is an extensively studied data mining problem in the text domains. The difficulty finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In text mining, clustering the sentence is one of the processes and used within general text mining tasks. Several clustering methods and algorithms are used for clustering the documents at sentence level. In this article, the sentence level based clustering algorithm is discussed as a survey. The main goal of this survey is to present an overview of the sentence level clustering techniques. This demonstration of these techniques is used to obtain the efficient scheme for clustering for sentence level text. We can obtain the more efficient method or we may propose the new technique to overcome the problems in these existing approaches. This survey article is intended to provide easy accessibility to the main ideas for non-experts.
Authors and Affiliations
Saranya. J , Arunpriya. C
Keywords
Related Articles
- EP ID EP136798
- DOI -
- Views 113
- Downloads 0
An Efficient Classification Approach for Novel Class Detection by Evolving Feature Datastreams
Data stream classification has been an extensively studied research problem in recent years. data stream classification requires efficient and effective techniques that are significantly different from static data classi...
An Approach for Load Balancing Among Multi-Agents to Protect Cloud Against DDos Attack
Cloud Computing is widely used technology in present era. Cloud Computing is mainly used for on demand services over the distributed servers. So it is necessary to manage the working load of participating servers for uni...
PMA-Chord: Peer Mobility Adaptable Lookup for Chord Protocol
Structured Overlay Networks provide a promising system for high-performance applications because they may be fault-tolerant, scalable and self managing. Organized overlays provide lookup services that guide keys to nodes...
Secure and Faster NN Queries on Outsourced Metric Data Assets
Cloud computing enables outsourcing of data in pay per use fashion. This will help data owners to have services of storage without the need for investment. However, they have security concerns as the cloud service provid...
ACO, Its Modification and Variants
Ant colony optimization (ACO) is a P based metaheuristic algorithm which has been proven as a successful technique and applied to a number of combinatorial optimization problems and is also applied to the Traveling sales...