GDL

Empirical Studies On Machine Learning Based Text Classification Algorithms

ISSN : 2229 - 6727
Journal from gdlhub / 2017-08-14 11:52:34
Oleh : Shweta C. Dharmadhikari1, Maya Ingle2 and Parag Kulkarni1, Advanced Computing: An International Journal
Dibuat : 2012-06-30, dengan 1 file

Keyword : Automatic text classification, Information Retrieval, NLP, Machine Learning.
Subjek : Empirical Studies On Machine Learning Based Text Classification Algorithms
Url : http://airccse.org/journal/acij/papers/1111acij15.pdf
Sumber pengambilan dokumen : Internet

Automatic classification of text documents has become an important research issue now days. Proper


classification of text documents requires information retrieval, machine learning and Natural language


processing (NLP) techniques. Our aim is to focus on important approaches to automatic text


classification based on machine learning techniques viz. supervised, unsupervised and semi supervised.


In this paper we present a review of various text classification approaches under machine learning


paradigm. We expect our research efforts provide useful insights on the relationships among various text


classification techniques as well as sheds light on the future research trend in this domain.

Deskripsi Alternatif :

Automatic classification of text documents has become an important research issue now days. Proper


classification of text documents requires information retrieval, machine learning and Natural language


processing (NLP) techniques. Our aim is to focus on important approaches to automatic text


classification based on machine learning techniques viz. supervised, unsupervised and semi supervised.


In this paper we present a review of various text classification approaches under machine learning


paradigm. We expect our research efforts provide useful insights on the relationships among various text


classification techniques as well as sheds light on the future research trend in this domain.

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