Text Summarization versus CHI for Feature Selection
Journal Title: Journal of Advances in Mathematics and Computer Science - Year 2017, Vol 22, Issue 4
Abstract
Text Classification is an important technique for handling the huge and increasing amount of text documents on the web. An important problem of text classification is features selection. Many feature selection techniques were used in order to solve this problem, such as chi-square (CHI). Rather than using these techniques, this paper proposes a method for feature selection based on text summarization. We demonstrate this method on Arabic text documents and use text summarization for feature selection. Support Vector Machine (SVM) is then used to classify the summarized documents and the ones processed by CHI. The classification indicators (precision, recall, and accuracy) achieved by text summarization are higher than the ones achieved by CHI. However, text summarization has negligible higher execution time.
Authors and Affiliations
R. S. Jabri, E. Al-Thwaib
Modelling Miraa Addiction like a Disease Incorporating Voluntary Quitting
This study presented a deterministic model of miraa addiction based on three compartmental classes incorporating miraa specific attributes as well as the aspect of voluntary quitting. Our model was based on SIS classical...
Coverage Probability of the Credible Interval and Credible Probability of the Condence Interval of the Hierarchical Normal Model
It is well known that the coverage probability of a given nominal level condence interval and the credible probability of a given nominal level credible interval will attain the nominal level. Moreover, it is commonly b...
Properties of T–Anti-Fuzzy Ideals of a –Near-Ring
In this paper, we define Anti-fuzzy ideal of a -near-ring in and -anti-fuzzy ideal of a -near-ring in . we made an attempt to study the properties of -anti-fuzzy ideal of a -near-ring, union of -anti-fuzzy ideal...
Generalized Hyers-Ulam Stability of a Cubic reciprocal Functional Equation
In this paper, we obtain the generalized Hyers-Ulam stability of a new cubic reciprocal functional equation of the form f(2x + y) + f(2x − y) = 4f(x)f(y) [ 4f(y) + 3f(x) 2 3 f(y) 1 3 ] ( 4f(y) 2 3 − f(x) 2 3 )3 in non-Ar...
Geometric Aspects of Denseness Theorems for Dirichlet Functions
The first theorem related to the denseness of the image of a vertical line Re s = σ0, σ0 > 1 by the Riemann Zeta function has been proved by Harald Bohr in 1911. We argue that this theorem is not really a denseness theor...