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University of Illinois at Urbana-Champaign

Text Retrieval and Search Engines

University of Illinois at Urbana-Champaign via Coursera

Overview

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

Reviews

3.2 rating, based on 13 Class Central reviews

Start your review of Text Retrieval and Search Engines

  • Gregory J Hamel ( Life Is Study) completed 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…
  • Marianne Cardwell 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 Scie…
  • Anonymous

    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.…
  • Anonymous

    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.
  • Anonymous

    Anonymous completed 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.
  • Profile image for Lien Block
    Lien Block

    Lien Block 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)
  • Kristina Šekrst completed this course and found the course difficulty to be medium.

    I'm encouraging more programming assignments dealing with NLP, and a bit smaller focus on C++ and more R/Py support. It was a fun experience, and I hope that the theoretical approach will slowly turn into a combination of theory and practice.
  • Anonymous

    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.
  • Colin Khein completed this course.

  • Basil Rormose

    Basil Rormose completed this course.

  • Mike Rocke

    Mike Rocke completed this course.

  • Deepak Jois

    Deepak Jois is taking this course right now and found the course difficulty to be medium.

  • Rafael Prados

    Rafael Prados completed this course.

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