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LDA algorithm

Topic Detection: What Is It All About?

A classic use case in text analytics is text summarization; that is the art of extracting the most meaningful words from a text document to represent it. For example, if we have to catalog the tragedy of “Romeo and Juliet” by Shakespeare with let’s say 5 keywords only, “love”, “death”, “young”, “gentlemen”, “quarrel” might be sufficiently descriptive. Of course, the poetry is lost but the main topics are preserved via this keyword-based representation of the text. Text Summarization To obtain this kind of text…