NLP: The Embedding Techniques Used
Author(s): Rashmi
Originally published on Towards AI.
An introduction to NLP embedding techniques for understanding.
At its core, NLP is the bridge between human communication and machine understanding. It’s the technology that allows computers to read, understand, and derive meaning from human language in a way that’s both valuable and contextually relevant.
The article explores NLP embedding techniques and their significance, detailing traditional methods like Bag of Words and TF-IDF, advanced neural embeddings such as Word2Vec and GloVe, and the rise of transformer-based models like BERT and their variants, highlighting how each contributes to understanding and processing human language in various applications.
Read the full blog for free on Medium.
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