Introduction to NLP using Fastai
Implementing and decoding the revolutionary ULMFiT approach to train a language model on any downstream NLP task.
natural-language-processing fastai ulmfit sentiment-analysis tutorial article notebook

In continuation to my previous posts 1, 2, which delved into the domain of computer vision by building and fine-tuning an image classification model using Fastai, I would like to venture into the fascinating domain of Natural Language Processing using Fastai.

For this post we'll be working on the Real or Not? NLP with Disaster Tweets competition dataset on Kaggle to build a text classifier to distinguish between normal tweets and tweets sent out during a natural disaster using the ULMFiT approach and decoding this revolutionary paper that changed the NLP schenario for the better in the recent years.

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| Data Scientist | Fastai International Fellow|
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