
On this lecture we study the Names Corpus and solve a brief exercise.
On this lecture we study the Pronouncing Dictionary in Natural Language Processing. Part 1.
On this lecture we study the Pronouncing Dictionary in Natural Language Processing. Part 2.
On this lecture we implement a simple translator using comparative wordlists.
On this lecture we make a brief introduction to WordNet.
On this lecture we introduce The WordNet Hierarchy and study the concepts of hyponym and hypernym.
On this lecture we study the concepts of meronyms and holonyms.
On this lecture we study the concept of semantic similarity.
On this lecture we learn how we can extract and process texts from the Web.
On this lecture we learn how to extract HTML documents.
On this lecture we see how to read local files.
On this lecture we see how to read PDF files.
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Welcome to the Part 2 of the comprehensive Natural Language Processing (NLP) course, an exciting journey into the world of human language and intelligent machines! In this course, you will delve into the fascinating field of NLP, equipping yourself with the skills and knowledge needed to unlock the potential of language-driven technologies and drive innovation.
Designed for both beginners and intermediate learners, our NLP course offers a structured and engaging curriculum that covers the fundamental concepts and advanced techniques of NLP. Through a combination of theoretical lessons, hands-on exercises, and real-world projects, you will gain a deep understanding of the underlying principles and practical applications of NLP.
By the end of this course, you will possess a solid foundation in NLP and be equipped to tackle real-world NLP challenges. Whether you aspire to pursue a career in data science, artificial intelligence, or software engineering, the skills you acquire will be highly valuable in various industries such as healthcare, finance, customer support, and social media analytics.
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