• DocumentCode
    146539
  • Title

    Sentiment analyzer: Analysis of journal citations from citation databases

  • Author

    Parthasarathy, G. ; Tomar, D.C.

  • Author_Institution
    Dept. of CSE, Sathyabama Univ., Chennai, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    923
  • Lastpage
    928
  • Abstract
    The process of finding out the frequency of citations for various journals or articles or research papers is known as citation analysis. The impact of any research paper can be found by computing the number of citations, the particular journal or paper received. Many researchers quote concepts or ideas from various papers and the final outcome of the paper in their discussion. But it does not always mean that all the authors and papers referred to would be criticizing the referred paper with positive words. Sometimes if the referring paper has produced good results when compared to the referred paper then obviously the authors do not give much positive comments in their discussion. In order to address this problem, we propose the sentiment analysis can be performed to rate the citations based on the polarity level. The sentence parser can be used to identify the adjectives what the authors used in their discussion about the cited paper. Then the identified adjectives can be assigned a score to distinguish it from positive and negative. In between, if any paper is found without clearly mentioning the cited paper with identifiable adjective terms then in can be named as unknown or neutral. The citations can be ranked based on the computed polarity score. The ranking process helps to project the citations which have cited with higher positivity content in their discussion.
  • Keywords
    citation analysis; grammars; natural language processing; adjective identification; citation databases; citation ranking; computed polarity score; journal citation analysis; ranking process; sentence parser; sentiment analyzer; Accuracy; Citation analysis; Data mining; Databases; Feature extraction; Information technology; Semantics; citation ranking; impact of research paper; opinion polarity; sentence parser;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949321
  • Filename
    6949321