文章基本信息

标题：Citation Semantic Based Approaches to Identify Article Quality
本地全文：下载
作者：S. Sendhilkumar ; E. Elakkiya ; G.S. Mahalakshmi 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：5
页码：411-420
DOI：10.5121/csit.2013.3543
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Analyzing the structure of research articles and the relationship between the articles has always been important in bibliometrics research area. One of the methods for analyzing articles is by its citation. Normally researchers rank the article based on the citation count. But this quantity based evaluation is not sufficient due to various citation types like Random citation, Guest citation. Our paper aims in providing a new method to rate a research paper based on its citation quality. In order to find the citation quality, three different semantic related processes are used: Citation classification, Citation Sentiment Analysis, Content Relevancy. This work analyzes some challenges found in citing a research paper. We have proposed methods to figure out the valid citations for research paper and thereby found quality of the research paper
关键词：Citation Analysis; Citation classification; Citation Extraction; Citation Networks; Citation ;sentiment analysis