Topic Categorization

It. is common in NLP that the categories into which text is classified do not have fully objective def- initions. Examples of such categories are lexical distinctions such as part-of-speech …...

AbstractThis paper proposes a low-complexity word-level deep convolutional neural network (CNN) architecture for text categorization that can efficiently represent long-range associations in text. In the literature, several deep and complex …...