Feature Subsumption for Sentiment Classification of Dynamic Data in Social Networks using SCDDF
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 9
Abstract
The analysis of opinions till now is done mostly on static data rather than on the dynamic data. Opinions may vary in time. Earlier methods concentrated on opinions expressed in an individual site. But on a given concept opinions may vary from site to site. Also the past works did not consider the opinions at aggregate level. This paper proposes a novel method for Sentiment Classification that uses Dynamic Data Features (SCDDF). Experiments were conducted on various product reviews collected from different sites using QTP. Opinions were aggregated using Bayesian networks and Natural Language Processing techniques. Bulk amount of dynamic data is considered rather than the static one. Our method takes as input a collection of comments from the social networks and outputs ranks to the comments within each site and finally classifies all comments irrespective of the site it belongs to. Thus the user is presented with overall evaluation of the product and its features.
Authors and Affiliations
Jayanag B, Vineela. K, Dr. Vasavi. S
Keywords
Related Articles
- EP ID EP108865
- DOI -
- Views 102
- Downloads 0
Proposal and Evaluation of Toilet Timing Suggestion Methods for the Elderly
Elderly people need to urinate frequently, and when they go on outings they often have a difficult time finding restrooms. Because of this, researching a body water management system is needed. Our proposed system calcul...
A Two-Level Fault-Tolerance Technique for High Performance Computing Applications
Reliability is the biggest concern facing future extreme-scale, high performance computing (HPC) systems. Within the current generation of HPC systems, projections suggest that errors will occur with very high rates in f...
Classification of Arabic Writing Styles in Ancient Arabic Manuscripts
This paper proposes a novel and an effective ap-proach to classify ancient Arabic manuscripts in “Naskh” and “Reqaa” styles. This work applies SIFT and SURF algorithms to extract the features and then uses several machin...
Using Real-World Car Traffic Dataset in Vehicular Ad Hoc Network Performance Evaluation
Vehicular ad hoc networking is an emerging paradigm which is gaining much interest with the development of new topics such as the connected vehicle, the autonomous vehicle, and also new high-speed mobile communication te...
IMouse: Eyes Gesture Control System
A high number of people, affected with neuro-locomotor disabilities or those paralyzed by injury cannot use computers for basic tasks such as sending or receiving messages, browsing the internet, watch their favorite TV...