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.
- 5 stars65.69%
- 4 stars23.94%
- 3 stars6.68%
- 2 stars1.61%
- 1 star2.04%
This course goes through the basics of text retrieval systems with an appropriate speed. However, the contents are quite out-dated for 2019.
Course was well taught the instructor's explanation of the topics was very comprehensive. Overall satisfied with the experience
Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.
A bit difficult to complete as the Quiz questions were tougher. But when you go through all, you might feel good.