What is natural language processing? Examples and applications of learning NLP

The science of identifying authorship from unknown texts is called forensic stylometry. Every author has a characteristic fingerprint of their writing style – even if we are talking about word-processed documents and handwriting is not available. By counting the one-, two- and three-letter sequences in a text (unigrams, bigrams and trigrams), a language can be identified from a short sequence of a few sentences only. Creating a perfect code frame is hard, but thematic analysis software makes the process much easier.

NLP helps social media sentiment analysis to recognize and understand all types of data including text, videos, images, emojis, hashtags, etc. Through this enriched social media content processing, businesses are able to know how their customers truly feel and what their opinions are. In turn, this allows them to make improvements to their offering to serve their customers better and generate more revenue. Thus making social media listening one of the most important examples of natural language processing for businesses and retailers.

Applications and examples of natural language processing (NLP) across government

AI-powered content marketing and SEO platforms like Scalenut help marketers create high-quality content on the back of NLP techniques like named entity recognition, semantics, syntax, and big-data analysis. With the help of NLP, computers can easily understand human language, analyze content, and make summaries of your data without losing the primary meaning of the longer version. One of the biggest proponents of NLP and its applications in our lives is its use in search engine algorithms.

Natural language processing can be used for topic modelling, where a corpus of unstructured text can be converted to a set of topics. Key topic modelling algorithms include k-means and Latent Dirichlet Allocation. You can read more about k-means and Latent Dirichlet Allocation in my review of the 26 most important data science concepts. Many of these smart assistants use NLP to match the user’s voice or text input to commands, providing a response based on the request.

Transform Unstructured Data into Actionable Insights

NLP uses artificial intelligence and machine learning, along with computational linguistics, to process text and voice data, derive meaning, figure out intent and sentiment, and form a response. As we’ll see, the applications of natural language processing are vast and numerous. As mentioned earlier, virtual assistants use natural language generation to give users their desired response. To note, another one of the great examples of natural language processing is GPT-3 which can produce human-like text on almost any topic. The model was trained on a massive dataset and has over 175 billion learning parameters. As a result, it can produce articles, poetry, news reports, and other stories convincingly enough to seem like a human writer created them.

Online translators are now powerful tools thanks to Natural Language Processing. If you think back to the early days of google translate, for example, you’ll remember it was only fit for word-to-word translations. It couldn’t be trusted to translate whole sentences, let alone texts. Today, Google Translate covers an astonishing array of languages and handles most of them with statistical models trained on enormous corpora of text which may not even be available in the language pair. Transformer models have allowed tech giants to develop translation systems trained solely on monolingual text.

Interview Questions

But there are actually a number of other ways NLP can be used to automate customer service. Search autocomplete is a good example of NLP at work in a search engine. This function predicts what you might be searching for, so you can simply click on it and save yourself the hassle of typing it out. Mail us on h, to get more information about given services. We assure that you will not find any problem in this NLP tutorial. But if there is any mistake or error, please post the error in the contact form.

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