News Classification with CNN and Glove embedding

Traditionally CNN is popular is for identifying objects inside images. It can also be extended for text classification with the help of word embeddings. CNN has been found effective for text in search query retrieval, sentence modelling and other traditional NLP (Natural Language Processing) tasks.

Once an image is converted to vectorized representation or text is converted to embedding, it looks similar to machine as shown in picture below. In case of image each cell in the represents raw intensity of specific channel whereas in case of text…