Opinion Mining Classification Using Key Word Summarization Based on Singular Value Decomposition
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
With the popularity of online shopping it is increasingly becoming important for manufacturers and service providers to ask customers to review their product and associated service. Typically the number of customer reviews that a product receives grows rapidly and can be in hundreds or even thousands. This makes it difficult for a potential customer to decide whether to buy the product or not. It is also difficult for the manufacturer of the product to keep track and manage customer opinions. Opinion mining is an emerging field that classifies a user opinion into positive and negative reviews. In this paper it is proposed to develop a methodology using word score based on Singular Value Decomposition by modeling a custom corpus for a given topic in which opinion mining has to be performed. Bayes Net and decision tree induction algorithms are used to classify the opinions.
Authors and Affiliations
B Valarmathi , Dr. V Palanisamy
A Modified Robust Queue Management with Feedback Compensation Technique to Manage the Congestion Control in Wireless Communication Networks
At present there has been a tremendous growth in the computer networks and wireless networks. Due to the enormous growth of voice, audio, video and data applications over the wireless networks, the requirement of congest...
QUALITY OF SERVICE FOR MOBILE AD-HOC WIRELESS NETWORKS
Mobile ad-hoc network (MANET) is a wireless network without infrastructure. Nodes can commutate each other without central infrastructure; because they are self organised and self configurable with easy deployment. To co...
Audio Compression Codec Using a Dynamic Gammachirp Psychoacoustic Model And a D.W.T Multiresolution Analysis
Audio compression algorithms are used to obtain compact digital representations of high-fidelity audio signals for the purpose of efficient transmission over larger distances and storage. This paper presents an audio cod...
Rebroadcasting for Routing Reduction based upon Neighbor coverage in Ad Hoc Networks
Cause of nodes high mobility in mobile ad hoc networks (MANETs), there are frequent link breakages exist which escort to frequent route discoveries and path failures. The route discovery procedure cannot be ignored. In a...
FREQUENT DATA GENERATION USING RELATIVE DATA ANALYSIS
Traditional association rule mining method mines association rules only for the items bought by the customer. However an actual transaction consists of the items bought by the customer along with the quantity of items bo...