TY  - JOUR
T1  - Classification of Chemical Documents Using Multi Class Support Vector Machines
AU - Hema, R. AU - Geetha, T.V. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 22
SP  - 4551
EP  - 4553
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4551.4553
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4551.4553
KW  - Chemical documents
KW  -classification
KW  -one vs. all SVM
KW  -organic reactions
KW  -India
AB  - As most information are unstructured text on the web, text mining plays a vital role in information
retrieval field. Text classification is the process of classification of text documents into predefined categories.
This type of organizing text documents is useful for fast retrieval of documents and it fetches smaller space in
which the users may find their documents. In organic chemistry, organic reactions have been used for preparing
the huge amount of organic compounds and they are further used for the synthesis of new organic molecules.
This study explores the application of Support Vector Machines (SVMs) forclassifying the chemical text
documents based on the types of chemical reactions. SVMs achieve the better results over the existing methods
and eliminates the needfor manual parameter tuning.
ER  -