(eCornell) Topic Modeling With Unsupervised Machine Learning
About This Course
Extracting keywords or key phrases is a first step in this direction, which is where you will start in this course. Once you train a computer what the most important words in a document might be, you have to train it to identify the most important sentences. This is the second step in extracting information from a document to help create an abstract, and you will perform this step on larger text documents as well. Finally, you will calculate and interpret similarity metrics to compute the degree of similarity among documents that are possibly related to one another. The techniques you use throughout this course will prove useful in specific situations at work and beyond as you support your team or achieve your personal goals. The course is provided by eCornell in partnership with Genashtim.
What You'll Learn
Extract sentences into an abstract that conveys the meaning of a document using automated document summarization
Use topic modeling to connect a set of documents that share distinguishing characteristics