Computers Will Talk Pretty One Day Soon with NLP
August 25, 2016
The article titled National Language Processing: Turning Words Into Data on B2C takes an in-depth look at NLP and why it is such a difficult area to perfect. Anyone who has conversed with an automated customer service system knows that NLP technology is far from ideal. Why is this? The article suggests that while computers are great at learning the basic rules of language, things get far more complex when you throw in context-dependent or ambiguous language, not to mention human error. The article explains,
“This has changed with the advent of machine learning…In the case of NLP, using a real-world data set lets the computer and machine learning expert create algorithms that better capture how language is actually used in the real world, rather than on how the rules of syntax and grammar say it should be used. This allows computers to devise more sophisticated—and more accurate—models than would be possible solely using a static set of instructions from human developers.”
Throw in Big Data and we have a treasure trove of unstructured data to glean value from in the form of text messages, emails, and social media. The article lists several exciting applications such as automatic translation, automatic summarization, Natural Language Generation, and sentiment analysis.
Chelsea Kerwin, August 25, 2016
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Absolutely written written content, Really enjoyed reading.