Learn Text Mining using R
Learn Text Mining using R, available at $19.99, has an average rating of 2.55, with 12 lectures, based on 16 reviews, and has 180 subscribers.
You will learn about Help a non-technical audience conduct text mining Help them find patterns and trends in their writing and apply the tool on any text documents they can get their hands on. This course is ideal for individuals who are Bloggers or Content writers or Anybody whose job involves writing content regularly It is particularly useful for Bloggers or Content writers or Anybody whose job involves writing content regularly.
Enroll now: Learn Text Mining using R
Summary
Title: Learn Text Mining using R
Price: $19.99
Average Rating: 2.55
Number of Lectures: 12
Number of Published Lectures: 12
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Help a non-technical audience conduct text mining
- Help them find patterns and trends in their writing and apply the tool on any text documents they can get their hands on.
Who Should Attend
- Bloggers
- Content writers
- Anybody whose job involves writing content regularly
Target Audiences
- Bloggers
- Content writers
- Anybody whose job involves writing content regularly
What is Text mining? As simple as it may sound, text mining involves deriving important, high quality information from text. What do we get from this high quality information? Pretty much anything; text categorization, sentiment analysis, document summarization to name a few.
We’ve made sure you don’t get lost in the programming and technical details by providing you with our pre-coded open-source software.
Course Curriculum
Chapter 1: Course design
Lecture 1: What you will learn
Lecture 2: How you can use what you learn
Chapter 2: Setting up
Lecture 1: Introduction
Lecture 2: How to download and install R
Lecture 3: How to use code file
Chapter 3: A simple demonstration
Lecture 1: Intro to case study
Lecture 2: Import and Summarize data
Lecture 3: Visualize word frequency using a word cloud on each set
Lecture 4: Find which words occur most frequently in each set
Lecture 5: Words that occur more often in one set
Lecture 6: Words that occur at least N times
Chapter 4: Analyze yourself
Lecture 1: Analyze yourself
Instructors
-
ATI – Analytics Training Institute
Committed to creating a difference
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 2 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 5 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Digital Marketing Foundation Course
- Google Shopping Ads Digital Marketing Course
- Multi Cloud Infrastructure for beginners
- Master Lead Generation: Grow Subscribers & Sales with Popups
- Complete Copywriting System : write to sell with ease
- Product Positioning Masterclass: Unlock Market Traction
- How to Promote Your Webinar and Get More Attendees?
- Digital Marketing Courses
- Create music with Artificial Intelligence in this new market
- Create CONVERTING UGC Content So Brands Will Pay You More
- Podcast: The top 8 ways to monetize by Podcasting
- TikTok Marketing Mastery: Learn to Grow & Go Viral
- Free Digital Marketing Basics Course in Hindi
- MailChimp Free Mailing Lists: MailChimp Email Marketing
- Automate Digital Marketing & Social Media with Generative AI
- Google Ads MasterClass – All Advanced Features
- Online Course Creator: Create & Sell Online Courses Today!
- Introduction to SEO – Basic Principles of SEO
- Affiliate Marketing For Beginners: Go From Novice To Pro
- Effective Website Planning Made Simple