Text classification: A least square support vector machine approach

Text Document Classification: An Approach Based on Indexing

“…In order to do so, many statistical and computational models have been developed based on Naïve Bayes classifier [17,18], K-NN classifier [19,20], Centroid Classifier [21], Decision Trees [22,23], Rocchio classifier [24] Neural Networks [25], Support Vector Machines [3,26].…”

“…Nowadays many real time text mining applications have received a lot of research attention. Some of the applications are: spam filtering, emails categorization, directory maintenance, ontology mapping, document retrieval, routing, filtering etc [1,2,3]. Here, each application may handle million or even billions of text documents.…”

“…Until late 80's, text classification task was based on Knowledge Engineering (KE), where a set of rules were defined manually to encode the expert knowledge on how to classify the documents under the given categories [3]. Since there is a requirement of human intervention in knowledge engineering, researchers in 90's have proposed many machine learning techniques to automatically manage the text documents [3].…”

“…The lack of organization of materials in the WWW motivates people to automatically manage the huge amount of information. This requires implementation of sophisticated learning agents that are capable of classifying relevant information and thereby increases the text organization over WWW [3].…”

“…Until late 80's, text classification task was based on Knowledge Engineering (KE), where a set of rules were defined manually to encode the expert knowledge on how to classify the documents under the given categories [3]. Since there is a requirement of human intervention in knowledge engineering, researchers in 90's have proposed many machine learning techniques to automatically manage the text documents [3]. The 44 advantages of a machine learning based approach are that the accuracy is comparable to that achieved by human experts and no intervention from either knowledge engineers or domain experts needed for the construction of a document management tool [4].…”