Perlustration on Hindi News Classification using Transfer Learning

There is an enormous amount of data accessible in a virtual space, to make that data expedient; there is an urge for text classification. Due to technological expansions, there have been many classification models for text. There are certain monotonous situations where building a model data is not enough available or for that matter to build a model from scratch is time-consuming. To overcome that problem, transfer learning is proposed. Transfer learning is a machine learning method that is useful when we have a less amount of data for a given task for training and testing data. The knowledge gained while training a source dataset is used to train a target dataset. This article contains a summary of transfer learning and its instance cross-lingual learning which can be helpful for Hindi news classification.