Computer Research Papers
It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline.In fact, AI researchers contributed the majority of readership to 6 out of the top 10 papers.Presumably, those interested in popular topics such as machine learning list themselves under AI, which explains the strength of this subdiscipline, whereas papers like the Mapreduce one or the Google paper appeal to a broad range of subdisciplines, giving those papers a smaller numbers spread across more subdisciplines.Professor Blei is also a bit of a superstar, so that didn’t hurt. Malan, Gordon Mc Kay Professor of the Practice of Computer Science, Harvard University, on Quora: What is the best way to get started in writing research papers?
The bar graphs for each paper show the distribution of readership levels among subdisciplines.The interesting thing about this paper is that had some of the lowest readership scores of the top papers within a subdiscipline, but folks from across the entire spectrum of computer science are reading it.This is perhaps expected for such a general purpose technique, but given the above it’s strange that there are no AI readers of this paper at all.(Here are.) And, if you don’t already have a research project in mind, reach out to a professor whose area of research appeals to you.As for the writing itself, it’s not uncommon in computer science for papers to be structured along the lines of: had us do in graduate school: for each paper we read, read everything but the abstract, then write our own abstract, have others critique it, iteratively improve it, and ultimately compare it against the paper’s actual abstract.
LDA is a means of classifying objects, such as documents, based on their underlying topics.