AN IMPLEMENTATION OF EIS-SVM CLASSIFIER USING RESEARCH ARTICLES FOR TEXT CLASSIFICATION
Journal Title: ICTACT Journal on Soft Computing - Year 2016, Vol 6, Issue 3
Abstract
Automatic text classification is a prominent research topic in text mining. The text pre-processing is a major role in text classifier. The efficiency of pre-processing techniques is increasing the performance of text classifier. In this paper, we are implementing ECAS stemmer, Efficient Instance Selection and Pre-computed Kernel Support Vector Machine for text classification using recent research articles. We are using better pre-processing techniques such as ECAS stemmer to find root word, Efficient Instance Selection for dimensionality reduction of text data and Pre-computed Kernel Support Vector Machine for classification of selected instances. In this experiments were performed on 750 research articles with three classes such as engineering article, medical articles and educational articles. The EIS-SVM classifier provides better performance in real-time research articles classification.
Authors and Affiliations
Ramesh B, Sathiaseelan J G R
Keywords
Related Articles
- EP ID EP199835
- DOI 10.21917/ijsc.2016.0170
- Views 65
- Downloads 0
PROGRESSIVE DATA ANALYTICS IN HEALTH INFORMATICS USING AMAZON ELASTIC MAPREDUCE (EMR)
Identifying, diagnosing and treatment of cancer involves a thorough investigation that involves data collection called big data from multi and different sources that are helpful for making effective and quick decision ma...
A THEORETICAL APPROACH OF BIOMETRICS BASED STUDENT MANAGEMENT
A Theoretical Approach of Bio-Metrics Based Student Management System is an efficient and effective management system for the student’s record maintenance. The proposed study was developed with the available technology o...
RICH SEMANTIC SENTIMENT ANALYSIS USING LEXICON BASED APPROACH
Web is a huge repository of information, and a massive amount of data is generated everyday on online platforms. Information, can be facts and opinions, facts are objective statements about an event, and opinions are sub...
FEATURE BASED COMMUNITY DETECTION BY EXTRACTING FACEBOOK PROFILE DETAILS
FEATURE BASED COMMUNITY DETECTION BY EXTRACTING FACEBOOK PROFILE DETAILS
OPTIMUM PARAMETERS SELECTION USING BACTERIAL FORAGING OPTIMIZATION FOR WEIGHTED EXTREME LEARNING MACHINE
Extreme Learning Machine (ELM) is a Single Layer Feed Forward Network (SLFN) model with extremely learning capacity and good generalization capabilities. Generally, the performance of ELM for classification task highly b...