Topic identification method for textual document

• Main Authors: Jamil, Nurul Syafidah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza
• Format: Article
• Language: English
• Published: JMEST 2017
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/21719/1/JMEST%204%202%202017%206643%206647.pdf; http://repo.uum.edu.my/21719/; http://www.jmest.org/wp-content/uploads/JMESTN42352037.pdf
• Institution: Universiti Utara Malaysia

Abstract— Topic identification is a crucial task for discovering knowledge from textual document. Existing methods for topic identification suffer from word counting problem as they depend on the most frequent terms in the text to produce the topic keyword.Not all frequent terms are relevant. T...