SENTIMENT ANALYSIS OF DOCUMENT
BASED ON ANNOTATION
Archana Shukla
Department of Computer Science
and Engineering, Motilal Nehru National Institute of Technology, Allahabad
ABSTRACT
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.
KEYWORDS
Sentiment Analysis, Opinion Mining,
Classification, Annotation, Sentiment Words, Polarity Value
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