• P.Sudhasini
• Dr.B.Ashadevi

: In the modern era, technology has been placed a major role on communication through internet on various fields. On part of education field to promote the existing growth of studies, online education has given opportunity to explore much knowledge. At the same time consistent level of education standard is depends on the research activities. Now days, the research focus are seemingly less, most of them publishing the papers only for the academic need and purpose of updating in their curriculum vitae. In this research, specifically get in to deep keen on journal article semantic analysis of citation for the necessity to identify the negative or positive polarity of citation comment for the existing research work. It gives impact to the researchers whether the existing work have been commented in positive way to carry down the work for future or negatively cited on part of contradiction or dissimilarity or requirements of quantifying things in clarity according to the proposed and existing work. It is not just for the author to get the count of articles has been cited his own article to feed in their resume but have to make sure the sense of comment suggested to his work. This sentiment analysis on research articles should be the essential part on paving the way to reason out the role and purpose of existing research work, that can be the healthiest mode to the author on knowing the recent research activities as well as to improve the existing work that has to be matched with new age of scientific research. In this research work, proposed sentiment analysis especially for clinical and medical journal of articles to find the negative citations. The proposed method implemented using Afinn Lexicon, Sentiword Lexicon to check the negative polarity of citation comments and finally used NaiveBayseCalssifier algorithm to classify the new arrival of comments with existing trained dataset.

Data science, Natural language processing, Citation, Sentiment Analysis

"TOWARDS DATA SCIENCE - SENTIMENT ANALYSIS ON BIOMEDICAL JOURNAL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.784-788, June 2019, Available :http://www.jetir.org/papers/JETIR1906N18.pdf

"TOWARDS DATA SCIENCE - SENTIMENT ANALYSIS ON BIOMEDICAL JOURNAL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp784-788, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N18.pdf