Think of any conversation you’ve ever had how do you interpret the meaning of someone else’s words? What parts of their sentences indicate their intentions or desires? Could you use these parts to somehow predict their behavior?Īnalyzing language this way is the entire idea behind NLP software. Language is the most abundant type of data in the world, but it’s one of the hardest to interpret. As NLP continues to improve, businesses are already using it to automatically interpret communications such as emails, phone calls, and even technical documentation. NLP has also found widespread use in other areas, particularly in applications of deep learning and home automation.ĭespite these hyper-specific examples, however, even the most generalized businesses can benefit from adopting NLP software. One of the most common applications of NLP software is in translation, where it’s already proved effective at extracting subtle nuance and context between different languages. Unlike voice recognition software, however, NLP software is capable of interpreting both written and spoken languages, making it useful for an extremely wide range of applications. Natural language processing (NLP) software provides you with the tools for analyzing human languages.
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