Knowledge discovery and dissemination of text by mining with words

摘要

The present invention enables the construction and deployment of semantic search engines, which learn. Here, the learning necessarily occurs in unsupervised mode given the huge amount of text being searched and the resultant impracticality of providing human feedback. That is, it acquires a lexicon of synonyms and the context for their proper application by searching a moving window of text and compiling the results. No human operator is involved. This allows for the practical search, using machine learning techniques, of very large textual bases.