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The Naive Bayes classifier is one of the most versatile machine learning algorithms that I have seen around during my meager experience as a graduate student, and I wanted to do a toy implementation for fun. At its core, the implementation is reduced to a form of counting, and the entire Python module, including a test harness took only 50 lines of code. I haven’t really evaluated the performance,
The hype cycle concept has been used by IT consulting company Gartner since 1995 to highlight the common pattern of “overenthusiasm, disillusionment and eventual realism that accompanies each new technology and innovation.” While Gartner’s hype cycles represent one company’s opinions, the underlying concept seems right and it is always interesting to see where they place the current crop of comput
April 1, 2007 - December 1, 2007 RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph. Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation. The template can map spreadsheet cel
Introduction Hadoop is a powerful framework that allows for automatic parallelezation of computing task. Unfortunately programming for it poses certain challenges, namely it is really hard to understand and debug Hadoop programs. One way to easy things a little bit is to have a simplified version of the hadoop cluster that could run locally on the developer's machine. This tutorial describes how
The amount of free, interesting, and useful data is growing explosively. Luckily, computer are getting cheaper as we speak, they are all connected with a robust communication infrastructure, and software for analyzing data is better than ever. That’s why everyone is interested in easy to use frameworks like MapReduce for every-day programmers to run their data crunching in parallel. octo.py is a v
Procedings of the Joint 9th WEBKDD and 1st SNA-KDD Workshop 2007 Why We Twitter: Understanding Microblogging Usage and Communities Akshay Java, Xiaodan Song, Tim Finin, and Belle Tseng August 12, 2007 Microblogging is a new form of communication in which users can describe their current status in short posts distributed by instant messages, mobile phones, email or the Web. Twitter, a popular micro
In the recent series of posts, we have presented Twitter Goolgle Maps mashup, a Twitter search and buzz tracking tool called Twitterment and analysis of geolocation information from the twitter dataset. By providing a neat API, Twitter has enabled researchers to get a better understanding of Microblogging. In this post, I have used the Large Graph Layout (LGL) tool to visualize the social network
I find Twitter’s global appeal is truly amazing. Just a few minutes of watching Twittervision/GeoTwitter and searching for terms on Twitterment will prove its popularity. The map below shows the distribution of Twitter users across the world. This map was generated by using the Tweets (Twitter posts) aggregated by Twitterment from Twitter public timeline API. It consisted of over 300K Tweets from
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