Natural Language Processing First Steps: How Algorithms Understand Text | NVIDIA Developer Blog

Textual data sets are often very large, so we need to be conscious of speed. Therefore, we’ve considered some improvements that allow us to perform vectorization in parallel. We also considered some tradeoffs between interpretability, speed and memory usage. By applying machine learning to these vectors, we open up the field of NLP (Natural Language Processing). In addition, vectorization also allows us to apply similarity metrics to text, enabling full-text search and improved fuzzy matching applications.

Natural Language Processing First Steps: How Algorithms Understand Text | NVIDIA Developer Blog

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: