Index for objective measurement of a research paper based on sentiment analysis

• Published in: ICT express Vol. 6; no. 3; pp. 253 - 257
• Main Authors: Kochhar, Sarabjeet Kaur, Ojha, Uma
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2020; Elsevier; 한국통신학회
• Subjects: ACL anthology; Citation extraction; Citation sentiment analysis; Impact factor; Index; Metric; Publication impact factor; Sentiment analysis; Sentiment scores; SentiWordNet; 전자/정보통신공학; Sentiment analysis; ACL anthology; Impact factor; Citation extraction; Sentiment scores; Index; Metric; SentiWordNet; Citation sentiment analysis; Publication impact factor
• ISSN: 2405-9595; 2405-9595
• DOI: 10.1016/j.icte.2020.02.001

Establishing impact of a research paper is essential for academia, industry and research community alike. The attempts made in this direction are hitherto limited to some objective metrics, largely based on the citation count. The number of citations has always been used as a measure for ascertaining quality and popularity of research papers. Though, citations play an essential role in academic research, sometimes researchers may cite a paper to just point out its weaknesses and infirmities. A subjective look into the sentiments behind citations of a research paper aids in understanding the opinion of the peer research community for a paper. Objective measures such as citing author’s impact factor and the publication’s impact factor, may help to quantify the weightage of citations themselves and should also be included in the assessment of impact of a research paper. In this paper, we formulate a model that combines both the objective and subjective metrics and forms basis for an index to objectively convey the impact of a research paper.