Mark van Rijmenam of BigData-Startups.com recently wrote, "We have all heard the sentence 'This call may be recorded for quality and training purposes' when you call the call-centre of a company. Although some calls are indeed used for training purposes, more often they are used to improve natural language processing algorithms. The data from these calls help to create statistical models of phrases and words to improve the automated services to customers calling. This Natural Language Processing is gaining enormous traction and has massive potential for organisations."
He continues, "The challenge with NLP lies in the fact that computers normally requires humans to speak the programming language, which has to be unambiguous and highly structured, while natural language is anything but unambiguous. The linguistic structure changes with many complex variables such as regional dialects, context or slang language. NLP is at the heart of modern software that processes and understands human language, leveraging the vast amount of language data on the web and in social media. There are ample examples of NLP but one of the most well known is probably Watson, who was able to win the TV show Jeopardy by beating two of Jeopardy’s greatest champions. Nowadays, IBM has opened up Watson’s cognitive computing intelligence to spur innovation and fuel new applications."
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