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Review 1

Average rating 5.0

Completed 100% of course

This lecture is truly a blessing in disguise for graduate students or researchers preparing a text mining research paper. There are many books on Python text mining on the market, but there is no one that provides guidance for beginners in coding to actually apply coding to research papers. This lecture is very helpful because it shows the entire process of how Python coding is actually done from the data collection stage to the analysis method so that it can be applied directly to research papers. I especially liked the fact that they gave me quick and friendly feedback on parts I was curious about. This lecture is not a lecture that explains the principles of coding grammar in detail. However, since it is a lecture that allows you to immediately apply the necessary parts of your research to real-life situations even if you don't know how to code, it is a lecture that is perfect for those who want to do text mining research but have difficulty applying coding!

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Big Data/Text Mining Analysis Methods (LDA, BERTtopic, Sentiment Analysis, CONCOR with ChatGPT) thumbnail
leejinkyu0612

·

48 lectures

·

140 students

Big Data/Text Mining Analysis Methods (LDA, BERTtopic, Sentiment Analysis, CONCOR with ChatGPT) thumbnail
leejinkyu0612

·

48 lectures

·

140 students