Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (October 24 - October 31). Here they are, in order of popularity:
Deep belief networks have made it possible to train computers to predict if a sentence is positive, negative or neutral. Most sentiment analysis captures headlines because tweets can be analysed. However are there business applications beyond social networking analytics? Here are five examples:
In this post my aim is to get Hadoop up and running on a Ubuntu host using Local (Standalone) Mode and on Pseudo-Distributed Mode.
This is a sequal of what was presented in part 1 and part 2 of this tutorial; after indexing and querying we can highlight the results of a search by making use of Highlighter(s).
Andrews curves are a method for visualizing multidimensional data by mapping each observation onto a function. It has been shown the Andrews curves are able to preserve means, distance (up to a constant) and variances. Which means that Andrews curves that are represented by functions close together suggest that the corresponding data points will also be close together.
Usually, once you have revised the paper, some references were added, others were dropped. But you need to spend some time to check that all references are actually mentioned in the paper. I wanted to work on that manually this week-end, but @3wen suggested to write a simple R function to scan the tex f file (as well as the aux file actually) to remove uncited references.