{"id":11456,"date":"2026-08-10T10:32:24","date_gmt":"2026-08-10T10:32:24","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-natural-language-processing-nlp-fundamentals-3rd-edition-2025-3\/"},"modified":"2026-08-10T10:32:24","modified_gmt":"2026-08-10T10:32:24","slug":"oreilly-natural-language-processing-nlp-fundamentals-3rd-edition-2025-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-natural-language-processing-nlp-fundamentals-3rd-edition-2025-3\/","title":{"rendered":"Oreilly \u2013 Natural Language Processing (NLP) Fundamentals, 3rd Edition 2025-3"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Natural Language Processing (NLP) Fundamentals, 3rd Edition. This course teaches the fundamentals and advanced aspects of natural language processing in a simple and practical way, and provides the tools necessary to use NLP in real-world projects. Using the NLTK library, it first covers basic concepts such as text representation, data cleaning, topic detection, regular expressions, and sentiment analysis. Then, using the PyTorch framework, it covers more advanced topics such as text classification and sequence-by-sequence models. It also analyzes the transformer architecture that underlies large language models such as ChatGPT and BERT, along with its practical applications. By the end of this course, students will have a comprehensive understanding of NLP tools and algorithms. Course topics include text representation, data cleaning, named entity recognition, topic modeling, sentiment analysis, text classification, sequence modeling, practical applications, and use of large language models. Each lesson is accompanied by practical examples to teach concepts in a tangible way.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Implementing tokenization and text representation.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Use of one-hot encodings and bag of words.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Identifying related words using TF-IDF.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Text cleaning through stemming and lemmatization techniques.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Pattern matching using regular expressions.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Understanding named entity recognition.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Document clustering and topic modeling using various algorithms.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Conduct sentiment analysis, including managing negations and modifiers.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Using word embeddings to capture semantic relationships.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Definition of GloVe.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Modeling sequences in PyTorch with RNNs, GRUs, and LSTM networks.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Transfer learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Apply language recognition.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Understanding and using transformers.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Using LLMs for NLP tasks.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Building NLP applications with HuggingFace and large language models.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Data scientists with an interest in natural language processing.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/videos\/natural-language-processing\/9780135439692\/\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor: <\/span><a class=\"MuiTypography-root MuiTypography-inherit MuiLink-root MuiLink-underlineAlways css-pnl0bw\" href=\"https:\/\/downloadlynet.ir\/tag\/bruno-goncalves\/\"><span style=\"vertical-align: inherit\">Bruno Goncalves<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner to intermediate<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 6 hours and 14 minutes<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Introduction<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 1: Text Representation<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.1 One-hot Encoding<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.2 Bag of Words<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.3 Stop Words<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.4 TF-IDF<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.5 N-grams<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.6 Word Embeddings<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.7 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 2: Text Cleaning<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">2.1 Stemming<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">2.2 Lemmatization<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">2.3 Regular Expressions<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">2.4 Text Cleaning Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 3: Named Entity Recognition<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">3.1 Part of Speech Tagging<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">3.2 Chunking<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">3.3 Chinking<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">3.4 Named Entity Recognition<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">3.5 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 4: Topic Modeling<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.1 Explicit Semantic Analysis<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.2 Document Clustering<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.3 Latent Semantic Analysis<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.4 LDA<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.5 Non-negative matrix factorization<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">4.6 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 5: Sentiment Analysis<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">5.1 Quantify Words and Feelings<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">5.2 Negations and Modifiers<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">5.3 Corpus-based Approaches<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">5.4 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 6: Text Classification<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">6.1 Feed Forward Networks<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">6.2 Convolutional Neural Networks<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">6.3 Applications<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">6.4 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 7: Sequence Modeling<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">7.1 Recurrent Neural Networks<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">7.2 Gated Recurrent Unit<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">7.3 Long Short-term Memory<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">7.4 Auto-encoder Models<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">7.5 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 8: Applications<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">8.1 Word2vec Embeddings<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">8.2 GloVe<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">8.3 Transfer Learning<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">8.4 Language Detection<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">8.5 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 9: NLP with Large Language Models<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Topics<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">9.1 Large Language Models<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">9.2 Transformers<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">9.3 BERT<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">9.4 HuggingFace<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">9.5 NLP Tasks<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">9.6 Demo<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Summary<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Pictures from the Natural Language Processing (NLP) Fundamentals, 3rd Edition course<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-997224 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/07\/Natural-Language-Processing-NLP-Fundamentals-3rd-Edition.png\" alt=\"Natural Language Processing (NLP) Fundamentals, 3rd Edition\" width=\"1221\" height=\"374\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample course video<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container 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This course teaches the fundamentals and advanced aspects of natural language processin<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[78136,95516,95517,95518,95519,95520],"class_list":["post-11456","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-bruno-goncalves","dgi_tag-course-natural-language-processing-nlp-fundamentals-3rd-edition","dgi_tag-download-course-natural-language-processing-nlp-fundamentals-3rd-edition","dgi_tag-download-natural-language-processing-nlp-fundamentals-3rd-edition","dgi_tag-free-download-natural-language-processing-nlp-fundamentals-3rd-edition","dgi_tag-free-natural-language-processing-nlp-fundamentals-3rd-edition"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11456","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11456\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=11456"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=11456"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=11456"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}