Sentiment Analysis of Document Based on Annotation

resource thumbnail

Remove from Bookmarks

Do you really want to remove?
This action cannot be undone. Choose 'Cancel' to stop and go back.
Ratings: 0
  • Which text to add here??

Added by benbanbun on 2011-11-08 09:26

» Viewed 362 times
» Favorited by 0 user(s)
» 0 Comments
» This resource has public visibility

Holder of Rights:

License: unknown

Creator(s): Archana Shukla

Description:
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.

Add to Collection

You don't have any collections yet. Click here to create your first collection!

Share to Group

You don't have any group you can share this resource with: the resource is already shared to all groups you are member in. Click here to see available groups!

Create QR Code

Please select the URI for the QR Code:




Tags

sort: alphabeticallyby frequency
use blanks to separate tags

Comments

Sentiment Analysis of Document Based on Annotation 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. Archana Shukla