{"id":31290,"date":"2021-03-29T10:18:00","date_gmt":"2021-03-29T08:18:00","guid":{"rendered":"https:\/\/stage-fp.webenv.pl\/blog\/?p=31290"},"modified":"2025-01-02T11:52:16","modified_gmt":"2025-01-02T10:52:16","slug":"natural-language-processing-guide","status":"publish","type":"post","link":"https:\/\/www.future-processing.com\/blog\/natural-language-processing-guide\/","title":{"rendered":"Natural Language Processing (NLP): what it is and how it works?"},"content":{"rendered":"\n

While NLP has quite a long history of research beginning back in 1950, <\/strong>its numerous uses have emerged only recently. With the introduction of Google as the leading search engine, our world being more and more digitalised, and us being increasingly busy, NLP has crept into our lives almost unnoticed by people. Still, this is what\u2019s behind the multiple conveniences in our day-to-day existence.<\/strong><\/p>\n\n\n\n


What is Natural Language Processing?<\/h2>\n\n\n\n

Natural Language Processing is all about mimicking and interpreting the complexity of our natural, spoken, conversational language<\/strong>. It\u2019s a field of computational linguistics, which is a relatively new science.<\/p>\n\n\n\n

What is NLP? It is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language. While this seems like a simple task, it\u2019s something that researchers have been scratching their heads about for almost 70 years.<\/p>\n\n\n\n

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The definition of Natural Language Processing (NLP)<\/em><\/figcaption><\/figure>\n\n\n\n

Still, with tremendous amounts of data available at our fingertips, NLP has become far easier. The more data you analyse, the better the algorithms will be. The growth of NLP is accelerated even more due to the constant advances in processing power.<\/strong><\/p>\n\n\n\n

Similarly to AI specialists, NLP researchers and scientists are trying to incorporate this technology into as many aspects as possible. Modern NLP technologies, particularly deep learning models, have revolutionised the field by using neural network models to train NLP systems<\/strong> from diverse and large datasets, enabling transfer learning to achieve new tasks with less data and compute effort.<\/p>\n\n\n\n

Even though NLP has grown significantly since its humble beginnings, industry experts say that its implementation still remains one of the biggest big data challenges<\/a>.<\/p>\n\n\n\n

Before putting NLP into use,<\/strong> you\u2019ll need data. By using information retrieval software, you can scrape large portions of the internet.<\/p>\n\n\n\n

Want to know more about NLP? Take a look here:<\/p>\n\n\n\n