Family’s of Natural Language
“Lets dive into the world of NLP”
Introduction:
As in the advanced world due to big data , growth of unstructured data are huge in amount .
So NLP plays a vital role in playing the unstructured data. Natural language processing (NLP) is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
Types of NLP:
1.Natural language Understanding(NLU),
2.Natural Language classifier(NLC),
3.Natural Language Generation (NLG),
4.Machine preception ,
5.Conversation Chat bots.
- Natural language Understanding(NLU):
Natural language understanding is a branch of artificial intelligence that understand the texts and speech as like the humans used to understand
NLU directly enables human-computer interaction . NLU understanding of natural human languages enables computers to understand commands without the formalized syntax of computer languages and for computers to communicate back to humans in their own languages.
Applications of NLU :
Text summarization , Chat bot , Sentiment analysis , Paraphrasing , QA , Relation extraction .
2.Natural Language classifier(NLC):
Natural Language classifier is the classification of text based on the semantic meaning
Name entity recognition ,
Parts of speech tagging ,
are the core part of natural Language classifier.
3.Natural Language Generation (NLG):
Natural Language Generation is the process of generating own sentences with good semantic meaning. Normally we use NLG in MNC’s by creating the own document with AI master mind . AI chat bot use NLU to generate its own sentence to compete with human conversation . Even NLU has the capability to convert Raw structured data into plain English content .
4.Machine preception :
“NLP ‘’s predominant growth happened in Machine perception ”
Machine perception is the capability of a computer system to interpret data in a manner that is similar to the way humans use their senses to relate to the world around them. The basic method that the computers take in and respond to their environment is through the attached hardware. Until recently input was limited to a keyboard, or a mouse, but advances in technology, both in hardware and software, have allowed computers to take in sensory input in a way similar to humans.
5.Conversation Chat bots:
Artificial intelligence has made enormous progress in the last five years, and after a decade of texting and messaging on smartphones, people have become comfortable with conversational interfaces. Put together, those two trends mean we’ll soon be chatting with conversational bots.
Intelligent software designed to make you feel as though you’re talking to a real person. Chatbots are able to automate human tasks by translating fluidly between unstructured language and structured data. Imagine a customer service chat via instant message, email, or voice where the bot has answers before you can ask the question.
“Here it is a predictive vote for the most most used applications of Chat Bot”
Conclustion:
According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming an important role in Data Science. Industry experts have predicted that the demand for NLP experts will grow exponentially in the near future.
Here its the link of sofia the robot taking to will smith
