Natural language processing (NLP) is an umbrella term which encompasses any and everything related to making machines able to process natural language. Natural language understanding (NLU) is considered a subtopic of NLP and it’s main focus is to make machines interpret the natural language, derive meaning, identify context and draw insights. This interesting topic came to us from the Search Engine Journal in their article, “How NLP & NLU Work For Semantic Search.”
NLP can process text from grammar, structure, typo, and point of view—but it will be NLU that will help the machine infer the intent behind the language text. So, even though there are many overlaps between NLP and NLU, this differentiation sets them distinctly apart.
Combining these two technologies, searchers can find what they want without having to type their query exactly.
At the end of the day, content needs to be findable and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
