Feature selection for text classification: A review

• Published in: Multimedia tools and applications Vol. 78; no. 3; pp. 3797 - 3816
• Main Authors: Deng, Xuelian, Li, Yuqing, Weng, Jian, Zhang, Jilian
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2019; Springer Nature B.V
• Subjects: Audio data; Bayesian analysis; Classification; Computer Communication Networks; Computer Science; Data processing; Data Structures and Information Theory; Digital media; Feature selection; Image classification; Location based services; Multimedia; Multimedia Information Systems; Neural networks; Recommender systems; Special Purpose and Application-Based Systems; Support vector machines; Text categorization; Text editing; Video data; Feature Selection; Multimedia; Text classifiers; Text classification

Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of video, audio, text, and images. This is due to the prevalence of novel applications in recent years, such as social media, video sharing, and location based services (LBS), etc. In many multimedia applications, fo...