As we saw in the previous article, temporal analysis of individual keywords can be very interesting and uncover interesting trends, but it can be difficult to get an overview of a whole corpus. There’s just too much data.
One solution would be to group similar subjects together. This way, we could scale down a corpus of 500,000 keywords to a handful of topics. Of course, we’ll be losing some definition, but we’ll be gaining a 10,000 feet view of the corpus. In all cases, we can always refer to the individual keywords if we want to take a closer look. Continue reading “15 Years of News – Analyzing CNN Transcripts: Topics”