Andrey Smirnov Andrey Smirnov. This part defines some basic functions of LSA, a systems that is capable of extracting meaning out of text passages. Authors of this article claim that LSA's results are very similar to the way in which humans represent the meaning of what they read or hear. Latent Semantic Analysis mimics human quality, such as association, by using word to word, word to passage, and passage to passage relations to analyze language content.
Current technology can only deal with text.
None of system's knowledge comes from instinct or experience, the two major knowledge databases that people have. One of the ways that LSA uses to extract meaning is an average of all meanings of a specific word as it appears in one or more passages. LSA heavily depends on mathematical and statistical techniques, and unlike any other method uses a processing step in which the overall distribution of a word's usage is first taken into account. This detail considerably improves LSA's performance. This part of the article explains the mathematics behind this system in fine detail.