4 Natural Language Processing Applications and Examples for Content Marketers

By admin
Haziran 23, 2022

Pragmatic Analysis deals with the overall communicative and social content and its effect on interpretation. It means abstracting or deriving the meaningful use of language in situations. In this analysis, the main focus always on what was said in reinterpreted on what is meant. Every day, we say thousand of a word that other people interpret to do countless things. We, consider it as a simple communication, but we all know that words run much deeper than that. There is always some context that we derive from what we say and how we say it., NLP in Artificial Intelligence never focuses on voice modulation; it does draw on contextual patterns.

learning and natural

Although the technology is still evolving at a rapid pace, it has made incredible breakthroughs and enabled wide varieties of new human computer interfaces. As machine learning techniques become more sophisticated, the pace of innovation is only expected to accelerate. Manufacturers can leverage natural language processing capabilities by performing what is known asweb scraping. NLP can “scrape” or scan online resources for information about industry benchmark rates for transportation rates, fuel prices, and labor costs. This data ultimately helps them compare their costs to market standards and identify cost saving opportunities. In fact, a 2019 Statistareportprojects that the NLP market will increase to over $43 billion dollars by 2025.


NLP technology is only as effective as the complexity of its AI programming. Many different classes of machine-learning algorithms have been applied to natural-language-processing tasks. These algorithms take as input a large set of “features” that are generated from the input data. With NLP, technology can conduct many tasks for us, from comprehending search terms to structuring unruly data into digestible bits — all without human intervention. Modern-day technology can automate these processes with natural language understanding, taking the task of contextualizing language solely off of human beings. Before diving further into those examples, let’s first examine what natural language processing is and why it’s vital to your commerce business.

Here, your smart home device uses NLP to recognize your voice commands and take appropriate action. When giving a voice command to your smart assistant , NLP also works behind the scenes so that your assistant understands your instructions. By building a knowledge base, companies can empower their customers to solve their problems 24 hours a day, seven days a week, instead of contacting their support department and waiting for them to respond.

Natural language processing projects

Natural language processing is the ability of a computer program to understand human language as it is spoken and written — referred to as natural language. NLP stands for Natural Language Processing, which is a part of Computer Science, Human language, and Artificial Intelligence. It is the technology that is used by machines to understand, analyse, manipulate, and interpret human’s languages.


So the word “cute” has more discriminative power than “dog” or “doggo.” Then, our search engine will find the descriptions that have the word “cute” in it, and in the end, that is what the user was looking for. Chunking means to extract meaningful phrases from unstructured text. By tokenizing a book into words, it’s sometimes hard to infer meaningful information.

NLP Limitations

A suite of NLP capabilities compiles data from multiple sources and refines this data to include only useful information, relying on techniques like semantic and pragmatic analyses. In addition, artificial neural networks can automate these processes by developing advanced linguistic models. Teams can then organize extensive data sets at a rapid pace and extract essential insights through NLP-driven searches.


Predictive text has become so ingrained in our day-to-day lives that we don’t often think about what is going on behind the scenes. As the name suggests, predictive text works by predicting what you are about to write. Over example of nlp, predictive text learns from you and the language you use to create a personal dictionary.

What is natural language processing (NLP)?

But a computer’s native language – known as machine code or machine language – is largely incomprehensible to most people. At your device’s lowest levels, communication occurs not with words but through millions of zeros and ones that produce logical actions. This tool allows the translation of both standard text and text snippets (tags, search queries, etc.). For instance, the freezing temperature can lead to death, or hot coffee can burn people’s skin, along with other common sense reasoning tasks. However, this process can take much time, and it requires manual effort.


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