{"id":2040,"date":"2023-02-12T06:47:55","date_gmt":"2023-02-12T06:47:55","guid":{"rendered":"https:\/\/dev1992.com\/?p=2040"},"modified":"2023-02-13T16:52:21","modified_gmt":"2023-02-13T16:52:21","slug":"natural-language-processing-using-pattern-library","status":"publish","type":"post","link":"https:\/\/dev1992.com\/index.php\/2023\/02\/12\/natural-language-processing-using-pattern-library\/","title":{"rendered":"Cup\u00f3n Udemy: Natural Language Processing Using Pattern Library – Udemy Coupon"},"content":{"rendered":"\n
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Natural Language Processing-Pattern Library<\/h2>\n \n\n \n
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Natural Language Processing Using Pattern Library<\/figcaption><\/figure><\/div>\n \n\n \n
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Idioma<\/h2>\n \n\n \n

English<\/p>\n \n\n \n

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Descripci\u00f3n<\/h2>\n \n\n \n

Welcome to my course on Natural language processing using the pattern library.<\/p>

In this world of big data, coming in the form of text, audio, images etcetera has created the need for the understanding of such data.<\/p>

In this lesson, we will learn to use the pattern library to process analyze and make sense and to generate insights on some text data.<\/p>

Pattern library is a good library which is open source and it comes with great features that can help us with our natural language processing tasks.<\/p>


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Natural Language Processing(NLP) is basically an approach use to analyze and process text data. The pattern library can help us process and perform some analysis on text data such as; data mining, finding URLs, perform some sentimental analysis, tokenize sentences(break sentences into individual units) which could be an Ngram,( n=2,n=3) , lemmatize( generate words to their original state), spell checks, use pluralize and singularize methods to make text either plural or singular.<\/p>


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This course should help you get started with Natural Language Processing(NLP) with ease. Get to know how some underpinnings supporting some tech programs( auto corrections, text suggestions, ) we run daily on our phones and computers work.<\/p>

Python3 was used for the course<\/p><\/p>\n \n\n \n

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