Text Analysis and Natural Language Processing With Python

Use Python and Google CoLab For Social Media Mining and Text Analysis and Natural Language Processing (NLP)
4.50 (387 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Text Analysis and Natural Language Processing With Python
2 440
students
5 hours
content
Nov 2024
last update
$69.99
regular price

What you will learn

Students will be able to read in data from different sources- including websites and social media

Social media mining from Twitter

Extract information relating to tweets and posts

Analyze text data for emotions

Carry out Sentiment analysis

Implement natural language processing (NLP) on different types of text data

Introduction to some of the most common Python text analysis packages

Course Gallery

Text Analysis and Natural Language Processing With Python – Screenshot 1
Screenshot 1Text Analysis and Natural Language Processing With Python
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Screenshot 3Text Analysis and Natural Language Processing With Python
Text Analysis and Natural Language Processing With Python – Screenshot 4
Screenshot 4Text Analysis and Natural Language Processing With Python

History

Students
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Price
Rating & Reviews

Comidoc Review

Our Verdict

This Python-based text analysis and NLP course provides a solid foundation for understanding the concepts, along with hands-on experience using social media data. However, some inconsistencies, such as outdated content and occasional presentation lapses, hamper the overall learning experience. The course is worth exploring for beginners seeking an introduction to text analysis and NLP tools, but be prepared to look elsewhere for supplementary materials and clarification when needed.

What We Liked

  • Comprehensive coverage of text analysis and NLP techniques using Python
  • Hands-on experience with real-world data sources such as Twitter for social media mining
  • Discussion on fundamental concepts followed by translating them into code
  • Instructor's expertise in the subject matter

Potential Drawbacks

  • Some sections contain outdated or unavailable data due to changes in terms of service
  • Inadequate explanations and abrupt changes in cleaning processes
  • Occasional lapses in presentation continuity and video quality
  • Absence of audio in some lessons, with code readouts devoid of proper context
  • Packages mentioned in the course do not always function as expected or have missing materials
4038326
udemy ID
09/05/2021
course created date
01/08/2021
course indexed date
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