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  • Provider Coursera
  • Subject Algorithms and Data Structures
  • $ Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Effort 4-6 hours a week
  • Start Date
  • Duration 6 weeks long

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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 will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines.

Taught by

ChengXiang Zhai

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Reviews for Coursera's Text Retrieval and Search Engines
3.2 Based on 13 reviews

  • 5 stars 15%
  • 4 stars 38%
  • 3 stars 15%
  • 2 stars 15%
  • 1 stars 15%

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  • 1
Gregory S
3.0 3 years ago
by Gregory audited this course and found the course difficulty to be medium.
Text Retrieval and Search Engines is the second course in Coursera's new data mining specialization offered by the University of Illinois at Urbana-Champaign. The course covers a variety of topics in text data mining and natural language processing including text retrieval, query ranking and evaluation methods, methods and the basics of recommender systems. Grading is based entirely on 4 weekly quizzes comprised of 10 multiple choice questions. You only get 1 attempt on the quizzes.

The weekly content in Text Retrieval and Search Engines consists of around 10 video lectures that r…
5 people found
this review helpful
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Marianne C
2.0 a year ago
by Marianne completed this course.
I've taken a number of courses on Coursera and have thoroughly enjoyed some of them, but it's clear that the quality varies. I was very disappointed in this course. Having applied to the University of Illinois' Master of Computer Science - Data Science, I thought it'd be a good idea to take some of their Coursera courses to get a sense of the quality of their education. I probably should have taken their classes first and then applied, saving me the trouble. If this is the type of instruction I can expect in the Masters program, I think I'll save myself the $19k in tuition.

The pr…
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Anonymous
1.0 2 years ago
Anonymous is taking this course right now.
I was initially excited for this course as it seemed a good dive into unstructured text data. But now I'd say: *skip this course*. I think the instructor is okay and presents the material in a sufficient enough manner to get a decent grasp of it.

The reason I'd say skip this course is that the exercises are pretty bad. The class is only graded on quizzes and the optional programming assignments use an obscure text mining/analysis tool called MeTA which is time consuming to setup unless you're experienced in navigating the mess that open source C++ libraries are. Once you've s…
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Anonymous
5.0 3 years ago
Anonymous completed this course.
Great class with a nice mix of theoretical and practical lessons. There was a competition at the end of the course which pushed us to come up with new ideas.
1 person found
this review helpful
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Anonymous
4.0 9 months ago
Anonymous audited this course.
Precise and clear explanation about the concepts .This course completes focuses on text retrieval concepts with strong strong intro on what is text retrieval , what are the challenges faced and further gives an insight on various models and improvement in this field .Therefore, this course is mostly only for people more interested in an area in information retrieval.

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Anonymous
4.0 a year ago
Anonymous audited this course.
pretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty good
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Lien B
2.0 a year ago
Lien completed this course, spending 2 hours a week on it and found the course difficulty to be medium.
The course is not very organised and even though they share a lot of information, it's not really very useful for someone who wants to get his/her hands dirty and really learn NLP/Text retrieval.

(+ Instructor is sometimes very hard to understand)
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Anonymous
5.0 9 months ago
Anonymous completed this course.
It's not complete, but a good start point for who want to learn more about information retrieval. Great course. I recommend.
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Colin K
4.0 2 years ago
by Colin completed this course.
0 person found
this review helpful
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Basil R
4.0 2 years ago
Basil completed this course.
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Mike R
4.0 a year ago
Mike completed this course.
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Deepak J
1.0 3 years ago
by Deepak dropped this course and found the course difficulty to be medium.
1 person found
this review helpful
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Rafael P
3.0 3 years ago
Rafael completed this course.
0 person found
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  • 1

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