  I present a tool which tells the quality of document or its usefulness based
on annotations. Annotation may include comments, notes, observation,
highlights, underline, explanation, question or help etc. comments are used for
evaluative purpose while others are used for summarization or for expansion
also. Further these comments may be on another annotation. Such annotations are
referred as meta-annotation. All annotation may not get equal weightage. My
tool considered highlights, underline as well as comments to infer 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 the annotation present
on the documents as well as it also computes sentiment scores of all annotation
which includes comments to obtain the collective sentiments about the document
or to judge the quality of document. I demonstrate the use of tool on research
paper.
