It was shortly after somebody picked up the idea of ​​the robot that people wanted to understand human speech and text. It was a dream that was found only in the pages of sci-fi books and short stories or in films. It is known as natural language processing (NLP), the computer concept for understanding human speech and text is here.

It's not an easy task to accomplish. First of all, the problem is that people are talking about it so that the machine can understand. Second, the problem of words, which have the same but have other meanings, such as weight and path, weight and expectation.

The operation of natural or linguistic processing

is a large quantity of large amounts of structured, semi-structured and unstructured data that is provided for more information. Computers quickly pass through data, analyze and find patterns or trends. Initially, NLP relied on basic rules where machines using algorithms were told what words and phrases were searched for in the text, and then learned specific answers when sentences appeared. This has evolved into a deep learning, more flexible, more intuitive method, using algorithms to use a machine from an instance to identify a loudspeaker's intent.

Algorithms have historically been misunderstood in the development of NLP. But now with the help of deep learning and AI, algorithms can be interpreted successfully.

If you have an Amazon Echo or a Google Home, you interact with artificial intelligence and NLP. In addition, it is used in all kinds of business applications, including manufacturing, business analysis, customer relationships, human resources and healthcare. In the coming years, natural language processing and artificial intelligence will affect the health of five areas.

  • Clinical Data and Administrative Assistants
  • Data Mining and Disclosure
  • Market Analysis
  • Real-Time Translation Services
  • In customer service, NLP can help determine customer commitments for future sales. Customer surveys are not required. Instead, mining systems provide a deeper insight into the customer's emotions. Chatbots allow humancenter staff to concentrate on other types of calls.

    NLP will help human resource teams in recruiting jobseekers, making it easier to re-arrange, attract specific candidates, and hire more qualified staff. Anti-spam NLP keeps unwanted emails from the executables' mailbox. It can also be used to read tweets and determine whether it is good or bad for the company to handle customer concerns. NLP and Social Good

    NLP and AI can help prevent school shootings. For example, researchers at Columbia University have processed 2 million tweets, created by 9,000 vulnerable boys to determine how a teenage violent act becomes closer and closer.

    NLP currently has so many applications, and no doubt, as technology extends, more can be achieved.

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