Fundamentals of Java Programming for Text Mining and NLP
Fundamentals of Java Programming for Text Mining and NLP, available at $19.99, has an average rating of 3.65, with 14 lectures, based on 10 reviews, and has 582 subscribers.
You will learn about Developed your own Text Analytics and Text Mining Software using Stanford NLP. This course is ideal for individuals who are Beginner Data Analyst or Data Scientist interested in Data Science, Text Mining, Natural Language Processing, and Stanford NLP It is particularly useful for Beginner Data Analyst or Data Scientist interested in Data Science, Text Mining, Natural Language Processing, and Stanford NLP.
Enroll now: Fundamentals of Java Programming for Text Mining and NLP
Summary
Title: Fundamentals of Java Programming for Text Mining and NLP
Price: $19.99
Average Rating: 3.65
Number of Lectures: 14
Number of Published Lectures: 14
Number of Curriculum Items: 14
Number of Published Curriculum Objects: 14
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Developed your own Text Analytics and Text Mining Software using Stanford NLP.
Who Should Attend
- Beginner Data Analyst or Data Scientist interested in Data Science, Text Mining, Natural Language Processing, and Stanford NLP
Target Audiences
- Beginner Data Analyst or Data Scientist interested in Data Science, Text Mining, Natural Language Processing, and Stanford NLP
Why learn Data Analysis and Data Science?
According to SAS, the five reasons are
1. Gain problem solving skills
The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.
2. High demand
Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.
3. Analytics is everywhere
Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It’s a hugely exciting time to start a career in analytics.
4. It’s only becoming more important
With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.
5. A range of related skills
The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.
The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.
This course aims to equip the reader with Java programming, Text Mining, and Natural Language Processing fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own Text Mining Application at the end course.
This course will go into Natural Language Processing (NLP) and will look into stopwords removal, lowercase, uppercase, Stanford text classification, import text, and text transformation, Stanford NLP is seldom taught, this course teaches Stanford NLP.
You can look at the following courses to the SVBook Advanced Certificate in Software Development.
SVBook Advanced Certificate in Software Development is given to people who have completed the following courses:
-
– Create Your Calculator: Learn R Programming Basics Fast
-
– Create Your Calculator: Learn Python Programming Basics Fast
-
– Create Your Calculator: Learn C Programming Basics Fast
-
– Create Your Calculator: Learn C# Programming Basics Fast
-
– Create Your Calculator: Learn Java Programming Basics Fast
-
– Create Your WebBrowser: Learn C# Fundamentals Practically
and passed a 50 questions Exam. The six courses are created to help learners understand about programming basics. The learner will be able to program R, Python, C, C#, and Java after the courses
Contents
1. Introduction
2. Getting Started (Installing IDE, …)
3. Language Essentials I (variables, data types, …)
4. Language Essentials II (loops, if… else…, methods)
5. Object Essentials (classes, inheritance, polymorphism, encapsulation, …)
6. Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) )
7. Conclusion
Course Curriculum
Chapter 1: Content
Lecture 1: Introduction
Lecture 2: Getting Started
Lecture 3: Language Essentials I
Lecture 4: Language Essentials I Part 2
Lecture 5: Language Essentials II
Lecture 6: Language Essentials II: Loops
Lecture 7: Language Essentials II: Methods
Lecture 8: Object Essentials
Lecture 9: Text Mining
Lecture 10: Text Mining: Text Data Import
Lecture 11: Text Mining: Text Transformation
Lecture 12: Text Mining: Text Exploration
Lecture 13: Text Mining: Text Classification
Lecture 14: Conclusion
Instructors
-
Goh Ming Hui
Offer affordable data science courses.
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 1 votes
- 4 stars: 3 votes
- 5 stars: 3 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!
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