BERT language model

What is BERT (Bidirectional Encoder Representations from Transformers) and how is it used?

Bynajib

BERT is a groundbreaking language model developed by Google AI in 2018. It has changed the game in natural language processing (NLP). Unlike old models, BERT reads text in both directions, understanding left and right context. This lets it grasp language nuances better. Thanks to this, BERT excels in many NLP tasks. It does well…

stop words

How do stop words impact the performance of an NLP model?

Bynajib

Natural Language Processing (NLP) helps computers understand human language. Stopwords are key in NLP tasks like text classification, information retrieval, and sentiment analysis. This article will look at how stop words affect NLP model performance. Stop words are common words like “the,” “a,” “and,” and “in.” They might seem unimportant, but they can greatly affect…