Dr.Balakrishna SG

 Topic detection is the process in which we try classify “topics” by building a deep learning model. Model takes news articles and their labels for learning the features from news text. I have trained a LSTM ( for a detailed explanation of LSTMs can be found here)model which tries to capture the relationships between words in a text document thus helping the model to accurately classify documents into some predefined topics. Here is the opportunity to learn some Natural Language Processing basics such as Tokenisation, Stemming and vectorisation of the raw text which should also hopefully come in handy when making predictions with learning models.

Jupyter Notebook: Topic classification