A Beginner's Introduction to Natural Language Processing
Updegree
41 Lessons (3h)
Lifetime
Experience level required: Beginner
Access 41 lectures & 3 hours of content 24/7
Length of time users can access this course: Lifetime
Course Curriculum
41 Lessons (3h)
Chapter Zero
An Introduction to NLP
Real Life Applications3:56
Demand Of NLP Experts4:05
Course Curriculum2:04
Introduction & Overview
Introduction & Overview9:38
Installation and Setup13:20
Installation and Setup Study Note
Applications12:09
Introduction to NLTK toolkit
Word and Sentence Tokenization3:36
Word and Sentence Tokenization : Study Note
POS Tagging1:52
POS Tagging Study Note
Named Entity Recognition [NER]3:25
Named Entity Recognition (NER) Study Note
Introduction to Machine Learning
NLP and Machine Learning5:34
What is Machine Learning4:12
What is Machine Learning Study Note
Types Of Machine Learning Problems Regression and Classification9:39
Types Of Machine Learning Problems Regression and Classification Study Note
Machine Learning for binary and multi class Classification
Bag Of Words1:56
Bag Of Words Study Note
Binary Classification & Multi Class Classification8:20
Binary Classification & Multi Class Classification Study Note
Introduction to word Embedding
One Hot Encoding3:47
One Hot Encoding Study Note
Count Vectorizer13:35
Count Vectorizer Study Note
Tfidf Vectorizer8:48
Hash Vectorizer7:12
Hash Vectorizer and Tf-Idf Vectorizer Study Note
Deep Neural Networks for Word Embedding – Word2Vec, GloVe
Wor2Vec Usage5:10
Wor2Vec Usage Study Note
Introduction to Neural Net4:55
Introduction to Neural Net Study Note
Activation Functions3:49
Activation Functions Study Notes
Document and Sentence Embedding
Document and Sentence Embedding5:08
Sentiment Analysis – Classical and Deep ML
Sentiment Analysis6:53
Named Entity Extraction – Classical and Deep ML
Named Entity Extraction5:38
Neural Machine Translation
Neural Machine Translation9:57
Project : Question Classification on NLP
Project : Question Classification on NLP21:26
A Beginner's Introduction to Natural Language Processing
U
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Description
Today, with the digitization of everything, 80% of the data being created is unstructured. Organizations are turning to natural language processing (NLP) technology to develop an understanding of these unstructured data sets. NLP is a branch of artificial intelligence that gives computers the ability to understand human speech as it is spoken. In this course, you'll get an introduction to this powerful tool and understand how to use it to make sense of data.
Access 41 lectures & 3 hours of content 24/7
Gain an understanding of how to use the Natural Language Tool Kit
Load & manipulate your own text data
Learn how to formulate solutions to text-based problems
Understand when it is appropriate to apply solutions such as sentiment analysis & classification techniques
Specs
Important Details
Length of time users can access this course: lifetime
Access options: web and mobile
Certification of completion included
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: beginner
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Internet required
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