JSON and Natural Language Processing in PostgreSQL
- 4.7
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Course Summary
Learn how to use JSON and PostgreSQL to perform natural language processing in this course. You will gain a comprehensive understanding of the tools and techniques used in NLP and how to implement them using these technologies.Key Learning Points
- Understand the basics of JSON and PostgreSQL
- Learn about natural language processing and its applications
- Discover how to use NLP techniques in PostgreSQL
Job Positions & Salaries of people who have taken this course might have
- Data Scientist
- USA: $113,309
- India: ₹1,500,000
- Spain: €36,000
- NLP Engineer
- USA: $121,738
- India: ₹1,200,000
- Spain: €30,000
- Database Administrator
- USA: $77,428
- India: ₹500,000
- Spain: €24,000
Related Topics for further study
Learning Outcomes
- Ability to use JSON and PostgreSQL for natural language processing
- Understanding of NLP techniques and their applications
- Experience in implementing NLP algorithms using PostgreSQL
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python programming
- Familiarity with SQL
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
Similar Courses
- Natural Language Processing with Python
- Applied Data Science with Python
Related Education Paths
Notable People in This Field
- Andrew Ng
- Yann LeCun
Related Books
Description
Within this course, you’ll learn about how PostgreSQL creates and uses inverted indexes for JSON and natural language content. We will use various sources of data for our databases, including access to an online API and spidering its data and storing the data in a JSON column in PostgreSQL. Students will explore how full-text inverted indexes are structured. Students will build their own inverted indexes and then make use of PostgreSQL built-in capabilities to support full-text indexes.
Knowledge
- Compare Python, PostgreSQL, and JSON.
- Index and retrieve natural language text and JSON data; access API data and store it in a database.
- Create a GIN-based text[] reverse index and ts_vector index; build a search engine in PostgreSQL.
Outline
- Natural Language
- Welcome to the Course!
- Allocating Rows to Blocks in PostgreSQL
- Index Implementation Details
- Building an Inverted Index with SQL
- Demonstration: SQL Inverse Index
- Building a Natural Language Index with SQL
- Demonstration: SQL Natural Language Index
- Bonus: Office Hours - Seoul, South Korea
- Bonus: Office Hours - Portland, Oregon, USA
- Help Us Learn More About You
- Each Course Uses a Different Database
- How Assignments Work
- Connecting to Your Database Server
- Inverted Indexes with PostgreSQL
- A GIN-based Inverted Index with PostgreSQL
- Demonstration: GIN-based inverted index
- Building a Natural Language Index in PostgreSQL
- Demonstration: Fulltext tsquery and tsvector Functions
- Demonstration: Building a GIN / tsvector Index
- Office Hours - Washington, DC, USA
- Office Hours, Amsterdam, Netherlands
- Assessment Philosophy
- Text In Databases
- Python and PostgreSQL
- Lecture: PostgreSQL and Python
- Demonstration Python and PostgreSQL simple.py
- Demonstration loadbook.py
- Lecture: Mail Archive
- Demonstration: Mail Archive 1/3
- Demonstration: Mail Archive 2/3
- Lecture: Ranking Search Results with PostgreSQL
- Demonstration: Mail Archive 3/3
- Office Hours: Zagreb, Croatia
- Office Hours, Orlando, Florida, USA
- How Python Assignments Work
- Python and PostgreSQL on PythonAnywhere
- JSON and PostgreSQL
- Lecture: JavaScript Object Notation
- Interview: Douglas Crockford - JSON
- Lecture: Python and JSON
- Lecture: PostgreSQL and JSON
- Demonstration: Music Tracks and JSONB
- Lecture: Using a JSON API
- Demonstration: Star Wars API 1/2
- Demonstration: Star Wars API 2/2
- Course Wrap Up
- Office Hours, London, England
- Office Hours - Montreal, Quebec, Canada (at PyCon)
- Douglas Crockford and JSON
- Post-Course Survey
- JSON and PostgreSQL
Summary of User Reviews
Read reviews for the JSON, Natural Language Processing, and PostgreSQL course on Coursera. This highly rated course covers essential topics in an easy-to-understand way, making it a favorite among students.Key Aspect Users Liked About This Course
Many users appreciated the clear explanations and practical examples provided by the instructor.Pros from User Reviews
- Easy to understand
- Practical examples
- Great instructor
- Well-structured course
- Useful for real-world applications
Cons from User Reviews
- Some users found the course too basic
- Lack of interaction with other students
- Not enough hands-on practice
- Some technical issues reported
- Not suitable for advanced learners
Charles Russell Severance
4.7 Raiting
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JSON and Natural Language Processing in PostgreSQL
- 4.7
-
![]()
![]()
![]()
![]()
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Within this course, you’ll learn about how PostgreSQL creates and uses inverted indexes for JSON and natural language content. Students will explore how full-text inverted indexes are structured....
