Date of Award

6-2014

Document Type

Open Access

Degree Name

Bachelor of Science

Department

Computer Science

First Advisor

Kristina Striegnitz

Language

English

Keywords

eduction, note taking, electronic devices, structure

Abstract

Note taking is an important practice during lectures. With the rapid development of electronic devices such as smart phones, tablets and laptops, digital note-taking has become an option for many students. In the classroom setting, note takers might fail to record clearly organized notes due to limitations of time and devices. Therefore, users often need to manually organize long paragraphs of notes by dividing or structuring them into appropriate sections based on content. The goal of this research is to develop a system that automatically structures unorganized notes. Using topic modeling and automatic summarization, we detect and analyze the “structure” of the notes. We then build a webpage based on the structure in order to format notes into a more readable version.

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