Latent Dirichlet Allocation for textual student feedback analysis

• Main Authors: GOTTIPATI, Swapna, SHANKARARAMAN, Venky, LIN, Jeff
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Teaching evaluations; Quantitative feedback analysis tool; Topic extraction; Sentiment Mining; Latent Dirichlet Models; Classification; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4215; https://ink.library.smu.edu.sg/context/sis_research/article/5218/viewcontent/C3_01.pdf
• Institution: Singapore Management University

Education institutions collect feedback from students upon course completion and analyse it to improve curriculum design, delivery methodology and students' learning experience. A large part of feedback comes in the form textual comments, which pose a challenge in quantifying and deriving insig...