Title :
Text Categorization for Aligning Educational Standards
Author :
Yilmazel, Ozgur ; Balasubramanian, Niranjan ; Harwell, Sarah C. ; Bailey, Jennifer ; Diekema, Anne R. ; Liddy, Elizabeth D.
Author_Institution :
Center for Natural Language Process., Syracuse Univ., NY
Abstract :
Standard alignment (where standards describing similar concepts are correlated) is a necessary task in providing full access to educational resources. Manual alignment is time consuming and expensive. We propose an automatic alignment system, using machine learning techniques utilizing natural language processing. In this paper we discuss our experiments on text categorization for automatic alignment. We explore the role of relevant vocabulary sets in automatic alignment
Keywords :
educational administrative data processing; learning (artificial intelligence); natural language processing; standards; text analysis; vocabulary; educational standard alignment; machine learning; natural language processing; text categorization; vocabulary; Atmosphere; Earth; Natural language processing; Software libraries; Soil; Solids; Standards development; Standards organizations; Text categorization; Water resources;
Conference_Titel :
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2007.517
