Language processing in natural language

Not long after someone came up with the idea of ​​a robot that people wanted to understand human speech and text. It is a dream that can only be found on the pages of sci-fi books and stories, or seen in the movies. Known as Natural Language Processing (NLP), the concept of computer understanding of human speech and text is now here

It is not an easy task to achieve. First, there is a problem with human speaking in a short way so the machine can understand. Secondly, the problem with the words that sound the same but have different meanings such as weight and weight, weight and wait, etc.

How does natural language processing work

Processing the word or writing word to a large extent on Big Data, large amounts of structured, semi-structured and unstructured data that can be extracted for information. Computers can quickly browse data, analyze it, and find patterns or trends. Initially, NLP relies on basic rules where machines using algorithms have said what words and phrases to look for in the text and then have learned specific answers when the phrases have appeared. It has evolved into a deep learning, flexible and more instinctive method in which algorithms are used to teach a machine to identify a speaker's intent from a series of examples.

In the evolution of NLP, algorithms in history are poor in interpretation. However, now with improvements in deep learning and AI, algorithms can now be successfully interpreted.

If you own Emma from Amazon or Google Home, then you interact with Artificial Intelligence and NLP. In addition, it is already used in all types of business applications, including manufacturing, business analyzes, customer relations, human resources and health care

NLP, AI, and Businesses

and Artificial Intelligence will affect five areas of healthcare:

  • Clinical data and administrative assistants
  • Mining and data mining
  • Market analysis
  • Real time translation services

In customer service, the use of NLPs can help determine customer attitudes for future sales. There will be no need for customer inquiries. Instead, mining systems will offer a deeper insight into customer sentiments.

NLP will help human resources departments hire recruits, facilitate sorting through summaries, attract more specific candidates, and hire more skilled workers. NLP in spam detection will keep unwanted emails from the executive mailbox. It can also be used to "read" tweets and determine whether they are good or bad for a company so they can handle customer problems

NLP and Social Welfare

NLP and AI can help prevent shooting at school. For example, researchers from Columbia University have processed 2 million tweets published by 9,000 youngsters at risk to determine how linguistic changes become a teenager ever closer to committing a violent act

. doubt, as technology is expanding, more can be achieved.



Source by Robert K Janis