Classification of Documents Using Convolutional Neural Network(CNN)

Document classification is an example of Machine learning where we classify text based on its content. There are two broad categories of Machine learning techniques which can be used for it. Supervised leaning -- Where we already have the category to which particular document belongs to. Categories are predefined and documents within the training datasets are manually tagged with one or more category labels.After training, the model is smart enough to categorize the new document given. Unsupervised learning -- Where we do not have the class label attached to the document and we use ML algorithms to cluster the document which are of same type.