Hands-On Natural Language Processing

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Wuraola Oyewusi

50:31

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01.01-gain insights from unstructured text data.mp4

00:49

01.02-what you should know.mp4

00:19

01.03-exercise files.mp4

01:12

02.01-what is named entity recognition (ner).mp4

02:58

02.02-ner with spacy.mp4

02:31

02.03-data preprocessing for custom ner.mp4

03:12

02.04-custom model training with spacy.mp4

03:45

03.01-introduction to topic modeling.mp4

03:02

03.02-data preprocessing for topic modeling.mp4

05:44

03.03-topic modeling with gensim.mp4

04:09

03.04-topic modeling visualization with pyldavis.mp4

03:35

03.05-model evaluation for topic modeling.mp4

01:47

04.01-what is text summarization.mp4

02:34

04.02-text extraction for summarization.mp4

02:43

04.03-text summarization with sumy.mp4

02:30

05.01-what is sentiment analysis.mp4

03:40

05.02-sentiment analysis with vader.mp4

02:30

05.03-sentiment analysis with transformers.mp4

02:50

06.01-next steps.mp4

00:41

Ex Files Hands On Natural Language Processing.zip

Description

Dexterity at deriving insight from text data is a competitive edge for businesses and individual contributors. This course with instructor Wuraola Oyewusi is designed to help developers make sense of text data and increase their relevance. This is a hands-on course teaching practical application of major natural language processing tasks. Learn how to replicate the knowledge gained into the data that you work with. This course includes a background of each task’s process flow, use cases, and a coding demo. Some of the topics covered are named entity recognition, text summarization, topic modeling, and sentiment analysis.

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Machine Learning

Wuraola Oyewusi

Instructor's Courses

Experienced data scientist (DS), machine learning (ML), and artificial intelligence (AI) professional with expertise in natural language processing (NLP), healthcare, data curation, and research. Recognized as a UK Global Talent in AI, Machine Learning, and Data Science

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.