Natural Language Processing Tutorial: What is NLP? Examples

IBMs text mining software Watson Explorer and Taiger are both NLP driven solutions to the insurance industry. By continuing to monitor the use of a drug, the company is able to gather information on its side effects. Their Kore platform is designed to help financial institutions develop AI systems to forecast risk. Instead of just pitching a viewing figure, the TV company can show advertisers the exact demographic that a program has. 86% of these customers will decide not to make the purchase is they find a significant amount of negative reviews. If your product has a bad reputation it could lead to the demise of your business.

Many people don’t know much about this fascinating technology, and yet we all use it daily. In fact, if you are reading this, you have used NLP today without realizing it. Mail us on h[email protected], to get more information about given services.

What Is a Natural Language?

For example, if a user searches for “apple pricing” the search will return results based on the current prices of Apple computers and not those of the fruit. The deluge of unstructured data pouring into government agencies in both analog and digital form presents significant challenges for agency operations, rulemaking, policy analysis, and customer service. NLP can provide the tools needed to identify patterns and glean insights from all of this data, allowing government agencies to improve operations, identify potential risks, solve crimes, and improve public services. Ways in which NLP can help address important government issues are summarized in figure 4. Natural Language Processing (NLP) is a branch of AI that helps computers to understand, interpret and manipulate human languages like English or Hindi to analyze and derive it’s meaning. NLP helps developers to organize and structure knowledge to perform tasks like translation, summarization, named entity recognition, relationship extraction, speech recognition, topic segmentation, etc.

However, it is perfectly possible to program in NATURAL on your own PC. To do that, you should navigate to Software AG website, as they are the creators of the language, as well as ADABAS database. Just note that you can download for free only trial version, so do that at the time you want to start playing around with NATURAL.

Natural Language Processing Tutorial: What is NLP? Examples

Over the years, Gracie has pioneered the engagement of various new technologies that are now commonplace in our society—from e-commerce to artificial intelligence. With over 30 years of experience in financial services and consulting, Gracie is a thought leader with global and national experience in strategy, analytics, marketing, and consulting. Text analytics, and specifically NLP, can be used to aid processes from investigating crime to providing intelligence for policy analysis. Text analytics is a type of natural language processing that turns text into data for analysis. Learn how organizations in banking, health care and life sciences, manufacturing and government are using text analytics to drive better customer experiences, reduce fraud and improve society. Today’s machines can analyze more language-based data than humans, without fatigue and in a consistent, unbiased way.

As the technology evolved, different approaches have come to deal with NLP tasks. Whether you’re a data scientist, a developer, or someone curious about the power of language, our tutorial will provide you and skills you need to take your understanding of NLP to the next level. The postdeployment stage typically calls for a robust operations and maintenance process. Data scientists should monitor the performance of NLP models continuously to assess whether their implementation has resulted in significant improvements. The models may have to be improved further based on new data sets and use cases.

Interview Questions

Facebook Messenger is one of the more recent platforms used for this purpose. In this case, NLP enables expansion in the use of automatic reply systems so that they not only advertise a product or service but can also fully interact with customers. The more comfortable the service is, the more people are likely to use the app. Uber took advantage of this concept and developed a Facebook Messenger chatbot, thereby creating a new source of revenue for themselves. Natural Language Processing (NLP), Cognitive services and AI an increasingly popular topic in business and, at this point, seems all but necessary for successful companies.

Programming is a highly technical field which is practically gibberish to the average consumer. NLP can help bridge the gap between the programming language and natural language used by humans. In this way, the end-user can type out the recommended changes, and the computer system can read it, analyse it and make the appropriate changes. Translation of both text and speech is a must in today’s global economy. Regardless of the physical location of a company, customers can place orders from anywhere at any time.

Difference between Natural language and Computer Language

Another one of the common NLP examples is voice assistants like Siri and Cortana that are becoming increasingly popular. These assistants use natural language processing to process and analyze language and then use natural language understanding (NLU) to understand the spoken language. Finally, they use natural language generation (NLG) which gives them the ability to reply and give the user the required response.

For this tutorial, we are going to focus more on the NLTK library. Let’s dig deeper into natural language processing by making some examples. There are a large number of information sources that form naturally in doing business. These can sometimes overwhelm human resources in converting it to data, analyzing it and then inferring meaning from it. NLP automates the process of coding, sorting and sifting of this text and transforming it to quantitative data which can be used to make insightful decisions. A website integrated with NLP can provide more user-friendly interactions with the customer.

What is Natural Language Processing Used For?

Features such as spell check, autocorrect/correct make it easier for users to search through the website, especially if they are unclear of what they want. Most people search using general terms or part-phrases based on what they can remember. Enabling visitor in their search stops them from navigating away from the page in favour of the competition. Each sentence is stated in terms of concepts from the underlying ontology, attributes in that ontology and named objects in capital letters. In an NLP text every sentence unambiguously compiles into a procedure call in the underlying high-level programming language such as MATLAB, Octave, SciLab, Python, etc. Using NLP driver text analytics to monitor viewer reaction on social media helps a production company to see how storylines and characters are being received.

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