Semantic folding is a computational technique inspired by the way the human brain processes language. It creates a simplified representation of words and texts by encoding them as sparse binary vectors, known as “semantic fingerprints.”

These fingerprints are generated by mapping words to specific locations within a two-dimensional “semantic space”, where similar words cluster together based on their contextual usage. This process allows for efficient and robust semantic comparisons using simple operations like overlap and distance calculations.

Semantic folding can be applied to a variety of natural language processing tasks, including document classification, content filtering, information retrieval, and even cross-language applications, by leveraging the inherent semantic relationships captured in the fingerprint representation.

Link dump

• https://en.wikipedia.org/wiki/Semantic_folding
• https://news.ycombinator.com/item?id=36687160
• https://arxiv.org/pdf/1511.08855