Document Classification Using Artificial Neural Network
DOI:
https://doi.org/10.51983/ajcst-2019.8.2.2140Keywords:
N-Fold Cross Validation, Validation, Classification, Neural Network, Bag of WordsAbstract
The Document classification system is the field of data mining in which the format of data is based on bag of words (BoW) or document vector model and the task is to build a machine which after successfully learn the characteristic of given data set, predicts the category of the document to which the word vector belongs. In this approach document is represented by BoW where every single word is used as feature which occurs in a document. The proposed article presents artificial neural network approach which is hybrid of n-fold cross validation and training-validation-test approach for classification of data.
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