machine learning

Natural Language Processing with Swift River

One of the core features of Swift River is the Language Computation Core, or SiLCC as we like to call it (Swift Language Computation Component). Users send feeds to SiLCC which, using a number of machine learning techniques, parses the incoming text and extracts relevant keywords. The idea is that these keywords (tags) can then be used to infer taxonomic relationships between content items. Some camps refer to this as semantic programming, others refer to it as artificial intelligence, but the general concept remains the same: helping programs to perform tasks based on a growing series of complex conditions.

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