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Natural Language Processing Using Pattern Library | Free Udemy Course
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Natural Language Processing Using Pattern Library | Free Udemy Course

Free $19.99100% off
Price expires 1 year ago or 36 uses

Natural Language Processing-Pattern Library | Free Udemy Course

new
3.38
(7 ratings)
3064 students
Created by:
Bliva TangerynTech
Last updated 3/2023Course Language EnglishCourse Caption English [Auto]Course Length 01:37:49 to be exact 5869 seconds!Number of Lectures 17
This course includes:
  • 1.5 hours hours of on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • 1 additional resources

Welcome to my course on Natural language processing using the pattern library.In this world of big data, coming in the form of text, audio, images etcetera has created the need for the understanding of such data.In this lesson, we will learn to use the pattern library to process analyze and make sense and to generate insights on some text data.Pattern library is a good library which is open source and it comes with great features that can help us with our natural language processing tasks.Natural Language Processing(NLP) is basically an approach use to analyze and process text data. The pattern library can help us process and perform some analysis on text data such as; data mining, finding URLs, perform some sentimental analysis, tokenize sentences(break sentences into individual units) which could be an Ngram,( n=2,n=3) , lemmatize( generate words to their original state), spell checks, use pluralize and singularize methods to make text either plural or singular.This course should help you get started with Natural Language Processing(NLP) with ease. Get to know how some underpinnings supporting some tech programs( auto corrections, text suggestions, ) we run daily on our phones and computers work.Python3 was used for the courseWho this course is for:TeachersEducatorsData AnalystProgrammersPython Enthusiast

Course Content:

Sections are minimized for better readability, click the section title to view the course content

3 Lectures | 12:01
1 Lectures | 13:25
1 Lectures | 03:52
1 Lectures | 04:55
1 Lectures | 03:23
1 Lectures | 04:55
1 Lectures | 07:35
1 Lectures | 08:59
2 Lectures | 14:26
1 Lectures | 07:34
4 Lectures | 16:44
3.38
(7 course ratings)
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