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.
About this Course
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 31시간 필요
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 31시간 필요
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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TEXT RETRIEVAL AND SEARCH ENGINES의 최상위 리뷰
Great course for those trying to understand how ro analyse and process text data. It has the right amount of tools to help you understand the basics of information retrieval and search engines.
I have learned a lot of concepts through this course, but at a shallow level. It is a great introduction course to IR. It can be improved by adding more programming tasks for hands-on exercise
I found that there were a lot of mathematical function in this course. I need to see the examples of how are those functions applied in the real programming which support the business.
This is course provide me a detailed overview of the search engine and some new concepts that I am not aware of . I think now I understand text retrieval techniques
Some mistakes in subtitle. and it is better to break down the long videos into smaller sections, illustrate the concepts with more graphs,picture and animation.
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.
A great overview of text retrieval methods. Good coverage of search engines. A longer course will cover search engine better (remember this is a 6 weeker)
Excellent ! Well organized, presented with aptitude to detail. Definitely will recommend and take further units in this specialization.\n\nThanks Prof
This course goes through the basics of text retrieval systems with an appropriate speed. However, the contents are quite out-dated for 2019.
Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.
Course was well taught the instructor's explanation of the topics was very comprehensive. Overall satisfied with the experience
This course is complemented with a software and text (not mandatory) and good explanation with diagrams...
This advance course just perfect for me who know little bit about advance statistic and linear algebra.
More programming assignments would have helped understanding the topics covered in the course better.
Great at theory and concept explanation... but just few examples and zero programming applications.
One of the best courses I have taken on Coursera. Really liked how the quizzes were structured!
this course has a lot of ideas but I think these principles need some code for implementing
Arguably the best resource for learning about key concepts of text retrieval online.
This was just the course I needed! Great introduction to the Information Retrieval!
Excellent course, learned a lot that i am already applying to my professional work.
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