Natural Language Processing

It was not long ago that someone came to the idea of ​​robots that people wanted to understand human language and text. It was a dream that was only found on the pages of science fiction and short stories, or in movies. Known as Natural Language Processing (NLP), the term computer that understands human language and text is now here.

It is not easy to achieve. First, the problem of man is to speak accurately so that a machine can understand. Secondly, the problem with words that sound the same, but have different meanings like weight and weight, weight and wait, etc.

How Natural Language Processing Works

Processing spoken or written words extensively on large data, large amounts of structured, semi-solid and uninhabited data that can be reminded for information. Computers can quickly review the data, report it and find patterns or trends. Initially, NLP was based on basic principles where machines that used algorithms were told what words and phrases were looking for in text and then given certain answers when the sentences appeared. It has evolved into a deep learning, flexible, more physical way in which algorithms are used to teach a speaker-recognition machine in a series of examples.

In the development of NLP, algorithms have been historically bad at interpretation. However, with improvements in deep learning and AI, algorithms can now interpret well.

If you own Amazon Echo or Google Home, you are communicating with artificial intelligence and NLP. In addition, it is already used in all kinds of business equipment including manufacturing, business analysis, business relations, human resources and healthcare.

NLP, AI and Company

In the coming years, natural language processing and artificial intelligence will affect five areas of healthcare.

  • Clinical Data and Administrative Assistants
  • Data Processing and Extracting
  • Market Analysis
  • Real-time Translation Times

Customer Service may use NLP to help determine customer commitments for future sales. There will be no need for customer surveys. Instead, the mining system will provide a deeper insight into the client's feelings. Chatbots will allow human resource personnel to focus on other types of calls.

NLP will help human resources departments to recruit jobseekers, facilitate categorization through CV, attracting more qualified candidates and employing more qualified staff. NLP in spam detection will keep unwanted emails from the mailbox manager. It can also be used to "read" tweets and determine if they are good or bad for business so customers can be worried.

NLP And Social Good

NLP and AI can help prevent schooling. For example, Columbia University researchers have worked 2 million switches published by 9,000 risk groups to determine how language changes as a teenager reaches and commits violence.

There are so many used for NLP now and no doubt, as technology grows, one can achieve more.

Source by Robert K Janis

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