Classification of Machine Learning Engines using Latent Semantic Indexing
Yuhanis Yusof, Taha Alhersh, Massudi Mahmuddin, Aniza Mohamed Din · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · 2012
With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software for information retrieval and maintenance purposes is on demand.This work includes the use of Latent Semantic Indexing (LSI) in classifying neural network and k-nearest neighborhood source code programs. Functional descriptors of each program are identified by extracting terms contained in the source code.In addition, information on where the terms are extracted from is also incorporated in the LSI.Based on the undertaken experiment, the LSI classifier is noted to generate a higher precision and recall compared to the C4.5 algorithm as provided in the Weka tool.