Description
Have you ever wanted to learn text mining? Data Science is a very hot trend now. This course will equip you with the fundamentals of Java Programming knowledge for text mining and natural language processing (NLP), using Stanford NLP. There is not a lot of guides on Stanford NLP. This course is based on our ebook at SVBook.com.
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
What Will You Learn?
- Student will learn Stanford NLP, Text Mining and Java.
Requirements
- None
Curriculum
Course consist of total 3h 40min of content, in total.
Section 1: Introduction 1
Section 2: Language Essentials
Section 3: Object Essentials
Section 4: Text Mining and MAchine LEarning
About the Instructor
Eric Goh is a data scientist, software engineer, adjunct faculty and entrepreneur with years of experiences in multiple industries. His varied career includes data science, data and text mining, natural language processing, machine learning, intelligent system development, and engineering product design. He founded SVBook and extended it with DSTK.Tech and EMHAcademy. DSTK.Tech is where Eric develops his own DSTK data science software. Eric also publishes "Learn R for Applied Statistics" at Apress, and published 5 books at LeanPub and SVBook. He teaches the content at Udemy and EMHAcademy. During his free time, Eric is also an adjunct faculty at Universities and Institutions.
Eric Goh has been leading his teams for various industrial projects, including the advanced product code classification system project which automates Singapore Custom’s trade facilitation process, and Nanyang Technological University's data science projects where he develops his own DSTK data science software. He has years of experience in C#, Java, C/C++, SPSS Statistics and Modeller, SAS Enterprise Miner, R, Python, Excel, Excel VBA and etc. He won Tan Kah Kee Young Inventors' Merit Award and Shortlisted Entry for TelR Data Mining Challenge.
He holds a Masters of Technology degree from the National University of Singapore, an Executive MBA degree from U21Global (currently GlobalNxt) and IGNOU, a Graduate Diploma in Mechatronics from A*STAR SIMTech (a national research institute located in Nanyang Technological University), Coursera Specialization Certificate in Business Statistics and Analysis (Excel) from Rice University, IBM Data Science Professional Certificate (Python, SQL), and Coursera Verified Certificate in R Programming from Johns Hopkins University. He possessed a Bachelor of Science degree in Computing from the University of Portsmouth after National Service. He is also an AIIM Certified Business Process Management Master (BPMM), GSTF Certified Big Data Science Analyst (CBDSA), and IES Certified Lecturer.
Specialties: Data Science, Text Mining, Social Network Analysis, Natural Language Processing, Machine Learning, Software Engineering, Mechatronics, Business.
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