On SGX’s voyage to corporate sustainability: Exploring emerging topics in multi-industry corpora

• Main Authors: NI, Xinwen, LIN, Min Bin, Simon J.D. SCHILLEBEECKX, HARDLE, Wolfgang Karl
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: unsupervised learning; Latent Dirichlet Allocation (LDA); sustainability; Singapore Exchange (SGX); Asian Studies; Business Law, Public Responsibility, and Ethics; Finance and Financial Management
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/7486; https://ink.library.smu.edu.sg/context/lkcsb_research/article/8485/viewcontent/SSRN_id4686328.pdf
• Institution: Singapore Management University

Topic modeling and LDA (Latent Dirichlet Allocation) have proven valuable in various fields as an innovative approach to studying areas of interest and identifying topics in a dynamic content. The underlying assumption is that techniques like LDA can swiftly capture emerging topics in textual docume...