Showing papers by "M. Revanasiddappa published in 2017"

A Comprehensive Survey on various Feature Selection Methods to Categorize Text Documents

Abstract: Feature selection is one of the well known solution to high dimensionality problem of text categorization. In text categorization, selection of good features (terms) plays a very important role. Feature selection is a strategy that can be used to improve categorization accuracy, effectiveness and computational efficiency. This paper presents an empirical study of most widely used feature selection methods viz. Term Frequency-Inverse Document Frequency (tf·idf ), Information Gain (IG), Mutual Information(MI), CHI-Square (χ), Ambiguity Measure (AM), Term Strength (TS), Term Frequency-Relevance Frequency (tf·rf ) and Symbolic Feature Selection (SFS) with five different classifiers (Nave Bayes, KNearest Neighbor, Centroid Based Classifier, Support Vector Machine and Symbolic Classifier). Experimentations are carried out on standard bench mark datasets like Reuters-21578, 20-Newsgroups and 4 University dataset.

Synthesis and characterisation study on polyaniline-SFA-Ag nanocomposite with plasma surface treatment

Abstract: In-situ polymerisation of aniline was carried out in the presence of Sintered Fly Ash to synthesise polyaniline-SFA-Ag (IPANI-SFA-Ag) nanocomposite by chemical oxidation method with various compositions (5, 10, 15, 20 and 25 wt %) of fly ash in polyaniline. The synthesised composite film was surface modified by DC glow discharge plasma to improve the surface properties of IPANISFA-Ag nanocomposite. The prepared composite films were characterised by FTIR, XRD, SEM, UV and DC conductivity analysis. From FTIR analysis, some new bonds, like C=O, C-H., were observed in the plasma-treated samples. An XRD analysis report shows that the Ag nanoparticles were in good agreement with IPANI and the intensity of the composite has increased after plasma treatment. The calculated average grain size of the composite was 38 nm; also the specific surface area of both samples was (SSA) 26 m2 g-1.