A Comparison of Text Categorization Methods

Faraz, Ahmed

doi:10.5121/ijnlc.2016.5103

IJNLC

2016

DOI: 10.5121/ijnlc.2016.5103

|View full text |Cite

A Comparison of Text Categorization Methods

Ahmed Faraz¹

Abstract: In this paper firstly I have compared Single Label Text Categorization with Multi Label Text Categorization in detail then I have compared Document Pivoted Categorization with Category Pivoted Categorization in detail. For this purpose I have given the general definition of Text Categorization with its mathematical notation for the purpose of its frugality and cost effectiveness. Then with the help of mathematical notation and set

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

The Method of Developing a Classifier Using the Bayes Theorem for Making a Decision on the Determination of True Information

Лукова-Чуйко

Laptieva

2022

Cybersecurity

View full text Add to dashboard Cite

The range of application of cluster analysis is very wide: it is used in archeology, medicine, psychology, biology, public administration, regional economy, marketing, sociology and other disciplines. Each discipline has its own requirements for primary data and rules for forming groups. Obviously, there will be different methodological approaches to market segmentation, the purpose of which is to identify groups of objects that are similar in terms of features and properties and to the formation of clusters that unite to strengthen their competitive advantages. Thus, when processing information in the information space, the methodology is usually aimed at building a mathematical model of cluster analysis of the object or phenomenon under study, and even obtaining an answer to the question: "Is the information true or not." Detecting false information in the digital world is an important task in overcoming the widespread spread of rumors and prejudices. The paper analyzes the existing methods of information classification in the information age. Formulate the signs of the information age, in the context of determining the veracity of information. Based on the main features of the information age, a method of creating a classifier has been developed to solve the problems of determining the veracity of information. Mathematical modeling was carried out using the developed classifier to confirm the developed method of decision-making about the veracity of information using the Bayes theorem. The obtained results proved the efficiency of the proposed method of developing a classifier for which, when applying the Bayes theorem for decision-making, it is possible to determine the veracity of information. But the developed Bayesian classifier is based on the fact that the a priori probabilities of the hypotheses are known. Therefore, the direction of further research is the development or improvement of methods and algorithms for determining the a priori probability of hypotheses.

show abstract

The Method of Developing a Classifier Using the Bayes Theorem for Making a Decision on the Determination of True Information

Лукова-Чуйко

Laptieva

2022

Cybersecurity

View full text Add to dashboard Cite

show abstract

The Method of Exclusion of Known Signals When Scanning a Specified Radio Range

Laptiev,

Zozulia

2023

Cybersecurity

View full text Add to dashboard Cite

Obtaining access to information using the means of obtaining information secretly remains relevant at the present time. This is due to significant advantages, which include the impossibility of identifying a specialist who is doing listening or video monitoring of the premises. The specialist is located at a distance from this room. The integrity of the information, because the information comes from the original source. Therefore, the problem of detecting radio signals of means of covertly obtaining information is an urgent scientific task. This work is devoted to the problem of reducing the time of detection of signals of means of covertly obtaining information. The detection of radio signals of the means of covert information acquisition is burdened by the fact that the means of covert information acquisition of the new generation work in a fully permitted radio range and their detection in a room bordering on other, filled radio devices is problematic. Now almost the entire available radio frequency spectrum is involved in the work of various radio transmitters. This complicates the detection of radio signals of means of covertly obtaining information, especially in large cities. We are working on the development of a method for removing known signals, which allows, unlike existing methods, to take into account known signals even at the conversion stage. The conversion process is a necessary process in the operation of automated radio signal detection complexes. It is applied at the first stage, even before the signal detection process. This gives a great advantage, in terms of time, by about two times reducing the time of searching for random radio signals. This makes it possible to detect pulsed radio signals of short duration, that is, to detect radio signals of pulsed means of covertly obtaining information, and to partially solve the scientific task of detecting pulsed means of covertly obtaining information that work in rooms where information with limited access is processed. The direction of further research is the development or improvement of methods and algorithms for determining by automated complexes the signals of means of covertly obtaining information, which work under the cover of radio frequencies authorized to work in this radio range.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Comparison of Text Categorization Methods

Cited by 2 publications

References 18 publications

The Method of Developing a Classifier Using the Bayes Theorem for Making a Decision on the Determination of True Information

The Method of Developing a Classifier Using the Bayes Theorem for Making a Decision on the Determination of True Information

The Method of Exclusion of Known Signals When Scanning a Specified Radio Range

Contact Info

Product

Resources

About