An Improvement of FA Terms Dictionary using Power Link and Co-Word Analysis

Abstract

Information retrieval involves obtaining some wanted information in a database. In this paper, we used the power link to improve the extracted field association terms from corpus by the proposed algorithm to support the machine to take the right decision and attach the candidate words in their convenient position in dictionary of the field association terms. Power Link is used as a quantitative tool to compute the co-citation relation among two words depending on the co-frequency and distances among instances of the words. In this paper, concept of the Power Link as well as modifications of the rules is used to classify the scientific papers into its proper field. In this paper, instead of whole document, a given document will be divided into three parts, namely, title, abstract and body. A given term will be given a weight that depends on the location of the term inside a specific document. The greatest weight will be given to the title then the abstract then the body, respectively. Results show an improvement in precision, recall and F measure.

Authors and Affiliations

El-Sayed Atlam, Dawlat A. El A. Mohamed, Fayed Ghaleb, Doaa Abo-Shady

Keywords

Related Articles

Hierarchical Classifiers for Multi-Way Sentiment Analysis of Arabic Reviews

Sentiment Analysis (SA) is one of hottest fields in data mining (DM) and natural language processing (NLP). The goal of SA is to extract the sentiment conveyed in a certain text based on its content. While most current w...

Design and Learning Effectiveness Evaluation of Gamification in e-Learning Systems

This paper proposes a gamification design model that can be used to design and develop gamified e-learning systems. Furthermore, a controlled and carefully designed experimental evaluation in terms of learning effectiven...

FabricVision: System of Error Detection in the Manufacture of Garments

A computer vision system is implemented to detect errors in the cutting stage within the manufacturing process of garments in the textile industry. It provides solution to errors within the process that cannot be easily...

A Survey of Quality Prediction of Product Reviews

With the help of Web-2.0, the Internet offers a vast amount of reviews on many topics and in different domains. This has led to an explosive growth of product reviews and customer feedback, which presents the problem of...

Multivariate Statistical Analysis on Anomaly P2P Botnets Detection

Botnets population is rapidly growing and they become a huge threat on the Internet. Botnets has been declared as Advanced Malware (AM) and Advanced Persistent Threat (APT) listed attacks which is able to manipulate adva...

Download PDF file
  • EP ID EP276818
  • DOI 10.14569/IJACSA.2018.090233
  • Views 101
  • Downloads 0

How To Cite

El-Sayed Atlam, Dawlat A. El A. Mohamed, Fayed Ghaleb, Doaa Abo-Shady (2018). An Improvement of FA Terms Dictionary using Power Link and Co-Word Analysis. International Journal of Advanced Computer Science & Applications, 9(2), 236-241. https://europub.co.uk/articles/-A-276818