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 107
- Downloads 0
Adaptive Integration of P2P and Mobile-Ad-hoc-Networks by a Cross Modeled CHORD Protocol
We set DHT (Distributed Hash Table) centered P2P (Peer to Peer) program-Chord in to MANET (Mobile Ad-hoc Network) in this paper. Then, we propose a new routing modified scheme Cross Modeled Chord(CM-Chord) which bases on...
Survey on Security Issues and Solutions in Cloud Computing
Cloud computing is a combination of several key technologies that have evolved and matured over the years. Cloud computing has a potential for cost savings to the enterprises but the security risk are also enormous. Clou...
A Novel Encryption and Extended Dynamic Histogram Shifting Modulation for Reversible Data Hiding in Encrypted Image
Recently, progressive interest is paid to reversible data hiding (RDH) in encrypted images, since it preserves the original cover can be recovered without any loss after embedded data is extracted to protect the con?den...
Improved Discretization Based Decision Tree for Continuous Attributes
The majority of the Machine Learning and Data Mining applications can easily be applicable only on discrete features. However, data in solid world are sometimes continuous by nature. Even for algorithms that will directl...
A Review of Cyber Attack Classification Technique Based on Data Mining and Neural Network Approach
Cyber attack detection and classification is major challenge for web and network security. The increasing data traffic in network and web invites multiple cyber attack. The dynamic nature and large number of attribute of...