Natural Language Processing

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9/10 stars
based on  12 reviews
Provided by:
Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4699 reviews

Course Description

In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems.
Natural Language Processing course image
Reviews 9/10 stars
12 Reviews for Natural Language Processing

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Mikhail Korobov profile image
Mikhail Korobov profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 8 months ago
The course was well organized and the instructors are great. Most fun came from the programming assignments. The great thing about them is that there was no single "correct" solution for most tasks, students were free to explore different possibilities; solutions were then graded based on a data unknown to students. Problem sets were quite boring in my opinion; many of them required calculations that are usually done by a machine; performing such calculations with pen and paper is quite error-prone (so for late problem sets I usually wrote small Python scripts; Excel spreadsheets would also fit the bill). Programming assignments were quite time consuming (even for experienced programmers), but I feel that without completing these assignments the outcome would be much less. This is a great course overall and I would recommend it to all people interested in Natural Language Processing.
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Student profile image
Student profile image

Student

10/10 starsCompleted
3 years, 6 months ago
The best course I've done on Coursera for far. It was in the beginning of the Coursera hype in 2011-2012 that I first heard of free education of Stanford quality so I decided to try. Totally worth the time. Both teachers are great and if something is not clear, you can find help on the discussion forum.
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Maciej Pilichowski profile image
Maciej Pilichowski profile image
10/10 starsCompleted
  • 9 reviews
  • 9 completed
5 years, 7 months ago
#1 course, I didn't see any course close to this one so far (~60 courses and counting). This course is not only interesting, it is prepared with love in heart and competence in hands, unlike current junk seen so often at Coursera when Staff does not pay attention to technical details or audience, here, both Professors did -- they trusted students and motivated all of us to work. And the course is challenging, there are open problems, so there is plenty of space to solve the problem, but later move from 99.998% to 99.999%.
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Anna Nachesa profile image
Anna Nachesa profile image
10/10 starsCompleted
  • 13 reviews
  • 13 completed
6 years ago
Great course - a lot of material covered. If it will be offered again (I wish!) the advice for those who wants to take it is to have the book as well (either the recommended one, or a free Introduction to Information Retrieval, written by Manning et al http://www-nlp.stanford.edu/IR-book/ and to dedicate quite some time to this course, especially if you haven't been involved with NLP before. Programming experience is a must (the first offering used Python and Java), as well as some exposure to the probability theory. I have been going through Probabilistic Graphical Models at the same time, and these two courses slightly overlapped, though NLP can overlap with almost everything in Computer Science. All the assignments were using English texts as data. If you are interested in the automatic translation, have a look at another, more involved NLP course: https://class.coursera.org/nlangp-001/class/index . For most of the other NLP-relev... Great course - a lot of material covered. If it will be offered again (I wish!) the advice for those who wants to take it is to have the book as well (either the recommended one, or a free Introduction to Information Retrieval, written by Manning et al http://www-nlp.stanford.edu/IR-book/ and to dedicate quite some time to this course, especially if you haven't been involved with NLP before. Programming experience is a must (the first offering used Python and Java), as well as some exposure to the probability theory. I have been going through Probabilistic Graphical Models at the same time, and these two courses slightly overlapped, though NLP can overlap with almost everything in Computer Science. All the assignments were using English texts as data. If you are interested in the automatic translation, have a look at another, more involved NLP course: https://class.coursera.org/nlangp-001/class/index . For most of the other NLP-relevant topics the course of Zhurafsky and Manning is a great starting point.
Was this review helpful? Yes3
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Ilya Krukov profile image
Ilya Krukov profile image
8/10 starsCompleted
  • 6 reviews
  • 6 completed
4 years ago
I've taken this course a year ago. It was very interesting and challenging experience. Pros. \- Interesting and broad course material \- Lecturers are active researchers in NLP area, and often provide information from recent papers \- very active and friendly forum ( BTW, this course was taken not only by people with no experience in NLP - I've met some people from Nuance on forum.) \- some programming assigments are very fun and challenging - you will never forget about PCFG's and Cocke -Younger- Kasami algorithm. \- I was very impressed when program which was written by me, performed better on POS tagging than I do. Cons. \- some lectures and assigments are very boring \- very annoying errors in homeworks. Hope in next sessions they all was fixed. Resume: Recomennded for everyone, interested in NLP. But forget about 6 - 8 hours per week - this course will take much more time. But the result is worth the effort.
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Equanimous Creativity profile image
Equanimous Creativity profile image
8/10 starsCompleted
  • 33 reviews
  • 32 completed
6 years, 1 month ago
If your interested in Natural Language Precessing this is a good place to start. The workload is high so be warned. I was a little disappointed at the end, the syllabus said that they would cover question answering but they didn't show us a full semantic answering system but merely how to rip possible answers patterns out of the text.
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Daniel Hunt profile image
Daniel Hunt profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 5 months ago
A difficult, but very rewarding course. The programming assignments test the techniques learnt on a weekly basis, and feel like real applications of the theory, rather than simple university assignments. Highly recommended.
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David Chouinard profile image
David Chouinard profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 8 months ago
Truly insightful and deep class. Very work-intensive, though.
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Kaushalya Madhawa profile image
Kaushalya Madhawa profile image
10/10 starsCompleted
  • 3 reviews
  • 3 completed
6 years, 6 months ago
Great class and the programming assignments are challenging and insightful. This is the best way to learn basics and applications of NLP. Highly recommended!
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Alex Ott profile image
Alex Ott profile image
10/10 starsCompleted
  • 6 reviews
  • 5 completed
6 years, 7 months ago
Very interesting class. This course covers many topics from Natural Language Processing & Information Retrieval. But comparing with Machine Learning course, this course requires that you spend more time teaching yourselves using the books from authors of this course (I had both books already on my bookshelf, so I had a chance to ready them at the end ;-) But beta-version of both books are freely accessible in Internet, so you don't need to buy them). Some home works were very challenging (especially 4,5 & 6), but some were very easy. Anyway, I'm happy that I had a chance to study this course directly from prominent scientists!
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Kirill Mavreshko profile image
Kirill Mavreshko profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 8 months ago
Never could imagine that task of processing a human-written text can have so clear and useful solutions. I highly recommend this course to all web developers. Very insightful!
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Ben Haley profile image
Ben Haley profile image
8/10 starsCompleted
  • 5 reviews
  • 4 completed
6 years, 8 months ago
This class was great, bettered only by andrew ng's ml class and cs212 from peter norvig. They got right into practical matters in nlp that helped me in kaggle's asap2 competition.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.