Natural Language Processing: Getting Started with NLP
Natural Language Processing
| Intermediate
- 12 Videos | 40m 26s
- Includes Assessment
- Earns a Badge
Enterprises across the world are creating large amounts of language data. There are many different kinds of data with language components including reports, word documents, operational data, emails, reviews, sops, and legal documents. This course will help you develop the skills to analyze this data and extract valuable and actionable insights. Learn about the various building blocks of natural language processing to help in understanding the different approaches used for solving NLP problems. Examine machine learning and deep learning approaches to handling NLP issues. Finally, explore common use cases that companies are approaching with NLP solutions. Upon completion of this course, you will have a strong foundation in the fundamentals of natural language processing, its building blocks, and the various approaches that can be used to architect solutions for enterprises in NLP domains.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe the foundation of natural language and its processingillustrate phonemes, morpheme, and lexemesdescribe syntactic and semantic analysis for NLPillustrate various fundamental tasks and components that are solved and explored using NLPdescribe heuristic approaches to solve NLP tasks
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describe machine learning approaches to solve NLP tasksdescribe deep learning approaches to solve NLP tasksspecify challenges with NLP in real world problem solvingillustrate various tools in NLP used across different industriesillustrate various use cases in NLP across different industriessummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview55sUP NEXT
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2.What is Natural Language Processing (NLP)4m 33s
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3.Building Blocks of Language2m 43s
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4.Syntactic and Semantic Analysis2m 57s
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5.Various Tasks of NLP2m 21s
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6.Heuristics-based NLP4m 36s
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7.Machine Learning-based NLP5m 32s
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8.Deep Learning-based NLP5m 4s
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9.Challenges with NLP4m 11s
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10.Tool Ecosystem of NLP4m 45s
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11.NLP Use Cases in Industry2m 16s
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12.Course Summary34s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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