SENTIMENT ANALYSIS OF DOCUMENT BASED ON ANNOTATION

I present a tool which tells the quality of document or its usefulness based on annotations. Annotation mayinclude comments, notes, observation, highlights, underline, explanation, question or help etc. commentsare used for evaluative purpose while others are used for summarization or for expansion also. Furtherthese comments may be on another annotation. Such annotations are referred as meta-annotation. Allannotation may not get equal weightage. My tool considered highlights, underline as well as comments toinfer the collective sentiment of annotators. Collective sentiments of annotators are classified as positive,negative, objectivity. My tool computes collective sentiment of annotations in two manners. It counts all theannotation present on the documents as well as it also computes sentiment scores of all annotation whichincludes comments to obtain the collective sentiments about the document or to judge the quality ofdocument. I demonstrate the use of tool on research paper.