Ratings and Reviews for Applied Text Mining in Python

Poor ability from lecturer to explain key concepts.

I am a Self Driving Car Engineer, I have worked with deep learning but i wanted to know about Machine Learning So i was exploring here. I am new to Text mining and not interested much, but it was worth exploring and to to know potential of Test Mining. Course was very well summed up for me as a this is new for me. Content was good enough to start and hit some practical questions.

I don't think the lecture is very clear. Although I have finished the homework, I still feel a little confused about the concepts.

Perfect course!

The frequent and well thought out exercises are very helpful

The assignments in every week are valued practice to get familiar with the knowledge in text mining. For example, regular expression, sentiment analysis, semantic similarity, LDA topic modeling and so on. However, the videos are sometimes confused and less organized. It could be better if having more details or at least sharing more reading related materials.

Good Material for the people who wants to start NLP. Thanks a lot for the material

Nice course, good introduction

V. G. is a good instructor. His course is very interesting.

Passionate instructor and a great primer on how software can infer useful data from text. Gives a preliminary understanding on the algorithms used in scikit learn and nltk.