Open AccessA Review of Different Text Categorization Techniques
Author(s) -
Anubhav Aggarwal,
Jasmeet Singh,
Kapil Gupta
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.8.15210
Subject(s) - categorization , feature selection , computer science , text categorization , classifier (uml) , focus (optics) , selection (genetic algorithm) , the internet , artificial intelligence , information retrieval , data science , natural language processing , machine learning , world wide web , physics , optics
In this paper, we focus on a major internet problem which is a huge amount of uncategorized text. We review existing techniques used for feature selection and categorization. After reviewing the existing literature, it was found that there exist some gaps in existing algorithms, one of which is a requirement of the labeled dataset for the training of the classifier.