Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.
This course is part of the Data Mining Specialization
About this Course
Skills you will gain
- Information Retrieval (IR)
- Document Retrieval
- Machine Learning
- Recommender Systems
Syllabus - What you will learn from this course
- 5 stars65.80%
- 4 stars23.87%
- 3 stars6.66%
- 2 stars1.61%
- 1 star2.04%
TOP REVIEWS FROM TEXT RETRIEVAL AND SEARCH ENGINES
Excellent ! Well organized, presented with aptitude to detail. Definitely will recommend and take further units in this specialization.
This course is complemented with a software and text (not mandatory) and good explanation with diagrams...
Course was well taught the instructor's explanation of the topics was very comprehensive. Overall satisfied with the experience
The explanation is detailed and clear. But the missing star is because I hoped the course would have programming assignments using popular language as python.
About the Data Mining Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.