Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

Online Course

Udemy
Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

What is the course about?

Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)
The course Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python) is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Use Python and the Twitter API to build your own sentiment analyzer!

Course description
  • Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)
  • Design and Implement a sentiment analysis measurement system in Python
  • Grasp the theory underlying sentiment analysis, and its relation to binary classification
  • Identify use-cases for sentiment analysis
  • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to perform the coding exercise and understand the provided source code
  • 3.5 hours on-demand video
  • 13 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Loony Corn

Prerequisites & Facts

Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

Course Topic

Law, Teaching & Academics, Test Prep

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)
provided by Udemy

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School: Udemy
Topic: Business, Data Analytics, Sentiment Analysis