Topic detection, tracking, and trend analysis using self-organizing neural networks

• Main Authors: RAJARAMAN, Kanagasabai, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2001
• Subjects: topic detection; topic tracking; trend analysis; text mining; document clustering; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6283; https://ink.library.smu.edu.sg/context/sis_research/article/7286/viewcontent/trac_pakdd01.pdf
• Institution: Singapore Management University

We address the problem of Topic Detection and Tracking (TDT) and subsequently detecting trends from a stream of text documents. Formulating TDT as a clustering problem in a class of self-organizing neural networks, we propose an incremental clustering algorithm. On this setup we show how trends can...