TLDR
Text classification is one of the predominant tasks in Natural language processing. It has many applications including news type classification, spam filtering, toxic comment identification. For the majority of real-life problems your dataset is small and if you want to build your machine learning model you need to be smart. In this article, we will focus on the “Text Representation” step of this pipeline. We will use the data from Real or Not? NLP with disaster tweets kaggle competition to predict which tweets are about real disasters and which ones are not.via the TL;DR App
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Written by neptuneAI_jakub | Senior data scientist building experiment tracking tools for ML projects at https://neptune.ai
