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Learner Reviews & Feedback for Applied Text Mining in Python by University of Michigan

4.2
stars
3,800 ratings

About the Course

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Top reviews

CB

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Excellent course! Video lectures are high quality, with realistic problems and applications. Exercises are reasonably challenging, and all quite fun to do! Strongly recommend this course

DL

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La variedad de temas del curso lo hace un curso muy recomendable. El nivel de las tareas está de acuerdo a lo que se enseña. Muy recomendado como un primer acercamiento al tema.

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726 - 740 of 740 Reviews for Applied Text Mining in Python

By Alex M

Aug 27, 2017

Instructors did a poor job of preparing students for the assignments.

By Ji S

Apr 15, 2018

Too coarse, quality worse than other courses in this specialization.

By Abhishek J

Oct 10, 2020

it was so basic ! i was expecting some more detailed course on nlp

By Steven P

Feb 19, 2021

Very basic, but clear - just lacks the depth i was expecting

By L C

Nov 22, 2020

I found the course quite dry and hated the auto grader...

By Todd B

Apr 5, 2024

Assignments are ambiguous, could be cleaned up

By naive666

Jun 29, 2019

Far from expectation, feel upset

By Rodrigo L

Oct 1, 2021

very poor course

By christopher h

Nov 18, 2017

Compared to other courses in the Applied Machine Learning focus, this is so far the worst. The content and quality are poor. The lecturer is too slow and fails to prepare the student for the assignments. First week is very basic and ends with an assignment in regex. There's plenty of regex resources out there. 2nd week moves forward but finalizes in an assignment that involves concepts not covered in the lecture (ngrams). Weeks 3 and 4 contain too many errors in the lecture and autograder (use of AUC, finding minimum of a sparse array). UofM should rebuild this course.

By Tomás M

Dec 2, 2022

The course is just an absolute random collection of videos poorly explained, where no one is explaining why things are done in a particular way, with a poorly selected somewhat random APIs in NLP.

Very little practice and the assignments have basically nothing to do with what was "explained" in the videos. Plus, the discussion forum is absolutely full of dust and no one replies for the last 4 years.

It is really such a pitty that Michigan doesn't put any effort in keeping this up, but still offers something that is completely useless for students.

By Cande P

Dec 2, 2022

This course is not meant for LEARNING Text Mining, Assignments do not address contents of the lectures, many instructions are not clear, feedback on assignments is very scarse, si one does not know where they are making a mistake, and Discussion Forums HAVE NOT BEEN RESPONDED IN OVER 4 YEARS. It is a shame that coursera leaves some courses from certain universities to just sit there with no one answering forums or aiding students' learning process.

By Maximilian W

Feb 14, 2020

Serious sub-par course in the specialisation. The lecturer is good, but sadly the assignments are terrible. Thus the reinforcement - and reliability to problem solving - of the content is poor.

Given the high standard of the first three modules in this specialisation, this is really a shame. I would urge learners to consider whether there is much point in doing this course (other than to get the specialisation completed).

By Manuele K P

Oct 17, 2023

Videos are great, but assignments are stupid. Evaluation (grading) didn't work properly, and pedagogically, assignments do not evaluate topics related to the videos. Worst, mentors refuse to admit that there is a huge problem in their evaluation system. It's a pity, since the videos are nice.

By Rafi N

Nov 29, 2022

the worst course I had.

The assigments are really bad.

They are not teach  you how to do text mining  .  You spent hours for nothing   

most of the studet take the answers from the web (google the name of the course)