Text classification has been one of the most popular topics in NLP and with the advancement of research in NLP over the last few years, we have seen some great methodologies to solve the problem. In this blog, we will solve a text classification problem using BERT (Bidirectional Encoder Representations from Transformers). We will use the Google Play app reviews dataset consisting of app reviews, tagged with either positive or negative sentiment — i.e., how a user or customer feels about the app.
We’ll learn how to fine-tune BERT for sentiment analysis after doing the required text preprocessing (special tokens, padding, and attention masks) and then building a Sentiment Classifier using the amazing Transformers library by Hugging Face!

#nlp #deep-learning #machine-learning #python #data-science

Text Classification with BERT using Transformers for Long Text Inputs
32.75 GEEK