» Text Analysis with R for Students of Literature Matthew L. Jockers Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. View the Book Flyer [pdf 1.4MB] Introduction to the RStudio Programming Environment [Video]. “This is a well written book on the topic of Text Analysis.
Open Source DCoT Application - Word Counter I am in the process of performing some analysis on the posts on Daily Cup of Tech. One of the things that I want to do is a word count and frequency analysis on the entire blog.Now, I could go with good ol’ pen and paper and start counting every single word on the blog. But, that would take me quite a mount of time, not to mention that I would not learn anything in the process. Examples of common formulas - Windows SharePoint Services - Microsoft Office Online Important notice for users of Office 2003 To continue receiving security updates for Office, make sure you're running Office 2003 Service Pack 3 (SP3). The support for Office 2003 ends April 8, 2014. If you’re running Office 2003 after support ends, to receive all important security updates for Office, you need to upgrade to a later version such as Office 365 or Office 2013. For more information, see Support is ending for Office 2003.
Intro To Text Analysis With R Guest post by Christopher Johnson from www.codeitmagazine.com One of the most powerful aspects of using R is that you can download free packages for so many tools and types of analysis. Text analysis is still somewhat in its infancy, but is very promising. It is estimated that as much as 80% of the world’s data is unstructured, while most types of analysis only work with structured data. In this paper, we will explore the potential of R packages to analyze unstructured text.
Nine Excellent (Yet Free) Online Word Cloud Generators There are many online word cloud generator out there for web users, but getting by free and good ones is not that easy. That is why I am sharing Nine Excellent (Yet Free) Online Word Cloud Generators. Read each entry in the list and see which one suits your needs best. You are welcome if you want to share more online word cloud generators that our readers/viewers may like. Do you want to be the first one to know the latest happenings at SmashingApps.com, just subscribe to our rss feed and you can follow us on twitter to get updated. Statistical Methods for Studying Literature Using R R is a powerful programing language for statistical analysis and visualization that can be broadly used for many applications in the digital humanities. As with any programming language, getting started with R involves a steep initial learning curve in order to produce useful results. In its current form, this blog contains the notes from a hands-on workshop that I initially ran at the University of Kansas's Digital Humanities Forum/THATCamp Representing Knowledge in the Digital Humanities in September of 2011 and expanded with a more literary focus at the (University of Kansas 2012 Digital Humanities Forum).
Gallery Michael Jackson Hardy Leung, July 31, 2010 Paul the Octopus Hardy Leung, July 11, 2010 Frida Kahlo Hardy Leung, July 7, 2010 Dalmatian Hardy Leung, June 8, 2010 Ada Lovelace (Computer Pioneer) Hardy Leung, May 26, 2010 Rosa Parks Hardy Leung, May 26, 2010 Eleanor Roosevelt Hardy Leung, May 26, 2010 Martin Luther King Jr. Country Populations Hardy Leung, April 1, 2010 A T-SQL Regular Expression Library for SQL Server 2005. Free source code and programming articles Introduction With the advent of CLR integration into SQL Server 2005, it has become incredibly easy to extend the power of the T-SQL programming language. Two of the areas that can be improved upon by way of CLR integration are string matching and string manipulation. Background
Discourse analysis Discourse analysis (DA), or discourse studies, is a general term for a number of approaches to analyze written, vocal, or sign language use, or any significant semiotic event. Discourse analysis has been taken up in a variety of social science disciplines, including linguistics, education, sociology, anthropology, social work, cognitive psychology, social psychology, area studies, cultural studies, international relations, human geography, communication studies, and translation studies, each of which is subject to its own assumptions, dimensions of analysis, and methodologies. Topics of interest Topics of discourse analysis include: Political discourse
Cómo pasar una cadena o matrices de cadenas entre VB y un C de DLL This article demonstrates techniques to perform the following tasks between Visual Basic and a C DLL: Pass a string to a C DLL.Pass (and modify) an array of strings to a C DLL.Return a string from a function within a C DLL. Each of these techniques demonstrates slightly different way of handling strings within a DLL, and the last two require the Control Development Kit, which comes with Visual Basic version 3.0, Professional Edition. There are two parts to each technique demonstrated: the declaration within your Visual Basic code for the C function, and the internals of the C function that process the data being passed, modified, or sent back. Pass a String to a C DLL The declaration for the C function must use ByVal for C to receive a string.
A Statistical Analysis of the Work of Bob Ross Bob Ross was a consummate teacher. He guided fans along as he painted “happy trees,” “almighty mountains” and “fluffy clouds” over the course of his 11-year television career on his PBS show, “The Joy of Painting.” In total, Ross painted 381 works on the show, relying on a distinct set of elements, scenes and themes, and thereby providing thousands of data points. I decided to use that data to teach something myself: the important statistical concepts of conditional probability and clustering, as well as a lesson on the limitations of data. So let’s perm out our hair and get ready to create some happy spreadsheets!