Natural Language Processing

Natural Language Processing is meant to be a method to translate between the computer and the human language. The overall goal of natural language processing is to allow computers to make sense of and act on human language. So, in simple words to say, Natural Language Processing concerns with the interaction between computers and human natural languages, in particular how to program computers to process and analyze large amounts of natural language data.

Importance of Natural Language Processing:

Natural language processing helps computers communicate with humans in their own language and scales other language-related tasks. For example, NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.

Today’s machines can analyze more language-based data than humans, without fatigue and in a consistent, unbiased way. Considering the staggering amount of unstructured data that’s generated every day, from medical records to social media, automation will be critical to fully analyze text and speech data efficiently.

Natural Language Processing techniques are very useful for many businesses to analyze the customers’ sentiment. It helps to identify the sentiment among several online posts and comments. The business firms make use of natural language processing techniques to know about the customer’s opinion about their product and services from the online reviews.

Working of Natural Language Processing:

Natural Language Processing consists of two areas:

1. Natural Language Understanding (NLU) has to do with applying machine learning toward breaking language down into concepts with coherent relationships.
2. Natural Language Generation (NLG) is about building up natural linguistic phrases that accurately represent a series of starting concepts.

The two processes are the natural inverse of one another, though both are necessary for true Natural Language Processing success.

Development of both abilities requires incredible volumes of data, collecting and curating data is the most difficult and time-consuming part of machine learning, by far. But every phoneme collected and curated brings the NLP space just a little bit closer to completion — to the day when users can simply speak to their computers and receive a completely natural response in return.

With the ongoing growth of the World Wide Web and social media, there is a drastic increase in online unstructured data. As the amount of data increases, the mechanisms to process these unstructured data and to extract meaningful information from it becomes more challenging.

It will be very difficult to find a specific piece of information from a large knowledge base of unstructured data. These challenges and difficulties can be overcome with the advanced NLP techniques.

Chatbots

Chatbot is like a messaging platform that brought a huge change in the communication industry. Chatbots are said to be artificial intelligence systems that can be interacted through text or voice interface. Chatbots are sometimes called as personal assistants as they also assist in providing useful information. Many businesses use chatbots as a means of channel and distribution method for reaching their audience.

Working of a Chatbot:

The working of a chatbot is due to the main technology – Natural Language Processing (NLP). The same Natural Language Processing (NLP) forms the basis of voice recognition systems used by virtual assistants such as Apple’s Siri, Google’s Now, etc.

Chatbots process the text presented to them by the user (a process known as “parsing”), before responding according to a complex series of algorithms that interprets and identifies what the user said, infers what they mean and/or want, and determine a series of appropriate responses based on this information. Some chatbots offer a remarkably authentic conversational experience, in which it’s very difficult to determine whether the agent is a bot or a human being.

Without continuous development in the Natural Language Processing technology, Chatbots will remain at the mercy algorithms’ current ability to detect the subtle nuances in both written and spoken dialogue. Many chatbots will most likely struggle with the complexities inherent in elements of speech such as metaphors and similes.

Improvements in Artificial Intelligence and Natural Language Programming has made it possible to use conversational language as command line making chatbots understand what the user want and automate the execution of the command making bots do what they actually ask for. As it is extended to messaging platform, it’s possible to text the request and get the reply by an automated and scalable backend.

Benefits:

Chatbot brings a new way for every business in order to communicate with the world and also their customers. There are many benefits for both the business and also the customers in using chatbot. Some of them are improved customer satisfaction, cost saving, serve as a alternate sales channel, reaching new customers, gaining a new understanding of the customers, available for 24 hours to answer the customers, consistent answers and transactions with endless patience.

With technology moving faster than ever before, it has become very easy to create a chatbot with so many platforms out there which would gravely improve the revenues and customer satisfactions of many businesses.

Future of Automation

Automation is the use of electronics, technology or computer controlled devices to assume control of a process or a system. Some say Automation is defined as “the creation and application of technology to monitor and control the production and delivery of products and services”. Automation which is propped up by artificial intelligence and machine learning, is already having profound impacts on the lives we live, on a daily basis.

Automation is the process of performing tasks automatically which were previously performed by humans. Automation crosses all functions within industry from installation, integration, and maintenance to design, procurement, and management. Automation is useful in many industries and some of them are mentioned below:

• Oil and Gas Sector

• Machine Tools

• Manufacturing Industries

• Power Plant

• Chemical and Pharma

• Process Industries

• Food Industries

• Automobile Industries

• Irrigation Systems

• Engineering Services

• IT Industries

• Marketing & Sales Industries

Automation is evolving quickly in the past decade and the business intelligence that is used in applications is a new form of high-quality automation. In the technology domain, the impact of automation is increasing rapidly, both in the software/hardware and machine layer. However, despite advances in automation, some manual intervention is always advised, even if the tool can perform most of the tasks to reduce further errors or complications.

Automation involves a very broad range of technologies including robotics and expert systems, telemetry and communications, electro-optics, Cybersecurity, process measurement and control, sensors, wireless applications, systems integration, test measurement, and many more. Through automation, every business in various industries can improve their quality, increase their efficiency, shorten their time in manufacturing and releasing the product to the market and improve flexibility.

Automation is basically transforming businesses will naturally contribute to the economic growth in the form of productivity and efficiency. At the same time, these automation technologies will transform the nature of work and the workplace of the businesses. Machines will be able to carry out more of the tasks done by humans, complement the work that humans do, and even perform some tasks that go beyond what humans can do. As a result, some occupations will decline, others will grow, and many more will change.

While it looks good at the sight of new technological improvements, there’s also the problems of joblessness in many industries due to automation. But there’s also the say where automation gives organizations an opportunity to replace mundane, repetitive processes without direct human intervention, reducing fatigue and production errors -- be it in manufacturing, technology, retail or service industries. Automation also rises to the openings of new jobs in various industries for those who are skilled in technologies of respective domains.